default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDUlas Bagci
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j47]Debesh Jha
, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025)- [e2]Federica Proietto Salanitri, Serestina Viriri, Ulas Bagci, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Paraskevas Filntisis, Cecilia S. Lee, Aaron Y. Lee:
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine - First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15197, Springer 2025, ISBN 978-3-031-73482-3 [contents] - 2024
- [j46]Rodney LaLonde, Naji Khosravan, Ulas Bagci:
Deformable Capsules for Object Detection. Adv. Intell. Syst. 6(9) (2024) - [j45]Haydar Ankishan, Haluk Ulucanlar, Islam Aktürk, Kübra Alphan Kavak, Ulas Bagci, Bülent Mustafa Yenigün:
Early stage lung cancer detection from speech sounds in natural environments. Biomed. Signal Process. Control. 96: 106628 (2024) - [j44]Necip Enes Gengeç, Ergin Tari, Ulas Bagci:
AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory. Earth Sci. Informatics 17(2): 1013-1029 (2024) - [j43]Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov:
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. IEEE Internet Things J. 11(5): 7374-7398 (2024) - [j42]Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Haydar Celik, Tolga Çukur:
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. IEEE J. Biomed. Health Informatics 28(3): 1273-1284 (2024) - [c115]Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, Minh-Triet Tran:
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification. AVSS 2024: 1-8 - [c114]Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci:
Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. CBMS 2024: 490-495 - [c113]Vanshali Sharma, Abhishek Kumar, Debesh Jha, Manas Kamal Bhuyan, Pradip K. Das, Ulas Bagci:
ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation. CVPR Workshops 2024: 2325-2334 - [c112]Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu:
PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation. CVPR Workshops 2024: 4989-4995 - [c111]Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci:
Domain Generalization with fourier Transform and soft thresholding. ICASSP 2024: 2106-2110 - [c110]Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. ISBI 2024: 1-5 - [c109]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. ISBI 2024: 1-5 - [c108]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. ISBI 2024: 1-6 - [c107]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. ISBI 2024: 1-5 - [c106]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. ISBI 2024: 1-5 - [c105]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation. ISBI 2024: 1-5 - [c104]Aliza Subedi, Smriti Regmi, Nisha Regmi, Bhumi Bhusal, Ulas Bagci, Debesh Jha:
Classification of Endoscopy and Video Capsule Images Using CNN-Transformer Model. CaPTion@MICCAI 2024: 26-36 - [c103]Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. AIPAD/PILM@MICCAI 2024: 35-44 - [c102]Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. MICCAI (9) 2024: 65-74 - [c101]Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci:
Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 176-187 - [c100]Koushik Biswas, Ridam Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. MLMI@MICCAI (1) 2024: 1-11 - [c99]Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. MLMI@MICCAI (1) 2024: 208-217 - [c98]Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. WACV 2024: 1276-1286 - [c97]Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci:
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. WACV 2024: 1287-1296 - [c96]Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. WACV 2024: 1989-1998 - [c95]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. WACV 2024: 2183-2192 - [c94]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. WACV 2024: 7753-7762 - [i129]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation via PVT-based Encoding and Refined Decoding. CoRR abs/2401.09630 (2024) - [i128]Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci:
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. CoRR abs/2401.10373 (2024) - [i127]Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. CoRR abs/2403.05024 (2024) - [i126]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. CoRR abs/2403.06961 (2024) - [i125]Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci:
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. CoRR abs/2404.17064 (2024) - [i124]Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci:
PAM-UNet: Shifting Attention on Region of Interest in Medical Images. CoRR abs/2405.01503 (2024) - [i123]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. CoRR abs/2405.06166 (2024) - [i122]Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci:
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i121]Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Enis Çetin, Ulas Bagci:
DCT-Based Decorrelated Attention for Vision Transformers. CoRR abs/2405.13901 (2024) - [i120]Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu:
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. CoRR abs/2405.16740 (2024) - [i119]Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier E. Villanueva-Meyer, Jonathan Shapey, Tom Vercauteren, Kazumi Chia, Omar Al-Salihi, Justin Leu, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese:
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. CoRR abs/2405.18383 (2024) - [i118]Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu:
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis. CoRR abs/2406.03430 (2024) - [i117]Abhijit Das, Debesh Jha, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar, Ashish Rauniyar, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci:
Ethical Framework for Responsible Foundational Models in Medical Imaging. CoRR abs/2406.11868 (2024) - [i116]Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc, Debesh Jha, Ulas Bagci, Minh-Triet Tran:
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation. CoRR abs/2406.14819 (2024) - [i115]Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. CoRR abs/2407.19284 (2024) - [i114]Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, Ulas Bagci:
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs. CoRR abs/2408.04491 (2024) - [i113]Koushik Biswas, Ridal Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. CoRR abs/2408.05692 (2024) - [i112]Aliza Subedi, Smriti Regmi, Nisha Regmi, Bhumi Bhusal, Ulas Bagci, Debesh Jha:
Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model. CoRR abs/2408.10733 (2024) - [i111]Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci:
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR abs/2409.00045 (2024) - [i110]Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Tyler M. Berzin, Rajesh Keswani, Michael B. Wallace, Ulas Bagci:
Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation. CoRR abs/2409.05875 (2024) - 2023
- [j41]Md. Manjurul Ahsan, Md Shahin Ali, Md. Mehedi Hassan, Tareque Abu Abdullah, Kishor Datta Gupta, Ulas Bagci, Chetna Kaushal, Naglaa F. Soliman:
Monkeypox Diagnosis With Interpretable Deep Learning. IEEE Access 11: 81965-81980 (2023) - [j40]Arghavan Rahimi, Mohammad Hosntalab, Farshid Babapour Mofrad, Mahasti Amoui, Ulas Bagci:
An automatic segmentation framework for computer-assisted renal scintigraphy procedure. Medical Biol. Eng. Comput. 61(1): 285-295 (2023) - [j39]Elif Keles, Ulas Bagci:
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review. npj Digit. Medicine 6 (2023) - [c93]Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi:
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CVPR Workshops 2023: 5350-5358 - [c92]Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi:
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CVPR Workshops 2023: 5359-5365 - [c91]Merey Sarsengeldin, Sanim Imatayeva, Nurmukhamed Abeuov, Myrzakhan Naukhanov, Abdullah Said Erdogan, Debesh Jha, Ulas Bagci:
Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs. eIT 2023: 143-146 - [c90]Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation. EMBC 2023: 1-4 - [c89]Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha:
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation. EMBC 2023: 1-4 - [c88]Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci:
GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model. Gaze Meets ML 2023: 254-265 - [c87]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) 2023: 2646-2655 - [c86]Ulas Bagci, Jayaram K. Udupa, Xinjian Chen, Drew A. Torigian, Alpay Medetalibeyoglu, Diwei Zhou, Li Bai:
Object Localization Using Non-Euclidean Metrics. IoTaIS 2023: 1-7 - [c85]Lanhong Yao, Zheyuan Zhang, Ulas Bagci:
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. ISBI 2023: 1-5 - [c84]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: residual upsampling network for real-time polyp segmentation. Medical Imaging: Computer-Aided Diagnosis 2023 - [c83]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. MICCAI (3) 2023: 422-431 - [c82]Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. MICCAI (3) 2023: 736-746 - [c81]Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci:
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. MIDL 2023: 1372-1384 - [c80]Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD 2023: 125-140 - [c79]Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) 2023: 134-143 - [c78]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. MMM (1) 2023: 334-344 - [i109]Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications. CoRR abs/2301.02181 (2023) - [i108]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: Residual upsampling network for real-time polyp segmentation. CoRR abs/2301.02703 (2023) - [i107]Elif Keles, Ulas Bagci:
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence. CoRR abs/2302.00225 (2023) - [i106]Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci:
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation. CoRR abs/2302.02289 (2023) - [i105]Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci:
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. CoRR abs/2303.07428 (2023) - [i104]Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci:
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation. CoRR abs/2304.02720 (2023) - [i103]Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi:
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CoRR abs/2304.08256 (2023) - [i102]Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi:
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CoRR abs/2304.08261 (2023) - [i101]Smriti Regmi, Aliza Subedi, Ulas Bagci, Debesh Jha:
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification. CoRR abs/2304.11529 (2023) - [i100]Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci:
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR abs/2304.11530 (2023) - [i99]Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci:
GazeSAM: What You See is What You Segment. CoRR abs/2304.13844 (2023) - [i98]Ilkin Isler, Debesh Jha, Curtis Lisle, Justin Rineer, Patrick Kelly, Bulent Aydogan, Mohamed Abazeed, Damla Turgut, Ulas Bagci:
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification. CoRR abs/2305.02491 (2023) - [i97]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR abs/2305.18221 (2023) - [i96]Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci:
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. CoRR abs/2306.02176 (2023) - [i95]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. CoRR abs/2307.02984 (2023) - [i94]Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR abs/2307.08140 (2023) - [i93]Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - [i92]Lanhong Yao, Zheyuan Zhang, Ulas Bagci:
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. CoRR abs/2308.00128 (2023) - [i91]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
Prototype Learning for Out-of-Distribution Polyp Segmentation. CoRR abs/2308.03709 (2023) - [i90]Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. CoRR abs/2309.00108 (2023) - [i89]Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. CoRR abs/2309.00121 (2023) - [i88]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. CoRR abs/2309.00143 (2023) - [i87]Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. CoRR abs/2309.05857 (2023) - [i86]Hongyi Pan, Bin Wang, Zheyuan Zhan, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci:
Domain Generalization with Fourier Transform and Soft Thresholding. CoRR abs/2309.09866 (2023) - [i85]Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri, Debanjan Haldar, Meen Chul Kim, Sherjeel Arif, Rachel Madhogarhia, Thinh Q. Nguyen, Elizabeth A. Frenkel, Zeinab Helili, Jessica Harrison, Keyvan Farahani, Marius George Linguraru, Ulas Bagci, Yury Velichko, Jeffrey Stevens, Sarah E. S. Leary, Robert M. Lober, Stephani Campion, Amy A. Smith, Denise Morinigo, Brian Rood, Kimberly Diamond, Ian F. Pollack, Melissa Williams, Arastoo Vossough, Jeffrey B. Ware, Sabine Müller, Phillip B. Storm, Allison P. Heath, Angela J. Waanders, Jena V. Lilly, Jennifer L. Mason, Adam C. Resnick, Ali Nabavizadeh:
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. CoRR abs/2310.01413 (2023) - [i84]Koushik Biswas, Meghana Karri, Ulas Bagci:
A Non-monotonic Smooth Activation Function. CoRR abs/2310.10126 (2023) - [i83]Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci:
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model. CoRR abs/2310.12868 (2023) - [i82]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. CoRR abs/2310.17764 (2023) - [i81]Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci:
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. CoRR abs/2310.18846 (2023) - [i80]Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. CoRR abs/2311.12486 (2023) - [i79]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning. CoRR abs/2311.12617 (2023) - [i78]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation. CoRR abs/2311.13069 (2023) - [i77]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. CoRR abs/2311.16700 (2023) - [i76]Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, Minh-Triet Tran:
PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification. CoRR abs/2312.05634 (2023) - [i75]Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. CoRR abs/2312.11480 (2023) - [i74]Necip Enes Gengeç, Ergin Tari, Ulas Bagci:
AI Powered Road Network Prediction with Multi-Modal Data. CoRR abs/2312.17040 (2023) - 2022
- [j38]Fikret Necati Catbas, Furkan Luleci, Mahta Zakaria, Ulas Bagci, Joseph J. LaViola, Carolina Cruz-Neira, Dirk Reiners:
Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review. Sensors 22(23): 9560 (2022) - [j37]Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci:
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. 94(5): 497-510 (2022) - [c77]Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha:
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CBMS 2022: 317-322 - [c76]Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CBMS 2022: 323-328 - [c75]Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. EMBC 2022: 475-479 - [c74]Ismail Irmakci, Zeki Emre Unel, Nazli Ikizler-Cinbis, Ulas Bagci:
Multi-Contrast MRI Segmentation Trained on Synthetic Images. EMBC 2022: 5030-5034 - [c73]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci:
Transformer Based Generative Adversarial Network for Liver Segmentation. ICIAP Workshops 2022: 340-347 - [c72]Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci:
Video Analytics in Elite Soccer: A Distributed Computing Perspective. SAM 2022: 221-225 - [c71]Idil Aytekin, Onat Dalmaz, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Tolga Çukur, Haydar Celik:
Detecting COVID-19 from respiratory sound recordings with transformers. Medical Imaging: Computer-Aided Diagnosis 2022 - [c70]Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci:
Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation. HECKTOR@MICCAI 2022: 107-113 - [c69]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-Guided Attention for Improved Polyp Segmentation. MICCAI (3) 2022: 151-160 - [c68]Zheyuan Zhang, Ulas Bagci:
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. MLMI@MICCAI 2022: 171-180 - [c67]Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci:
Enhancing organ at risk segmentation with improved deep neural networks. Medical Imaging: Image Processing 2022 - [e1]Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue:
Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13559, Springer 2022, ISBN 978-3-031-16759-1 [contents] - [i73]Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci:
Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks. CoRR abs/2202.01866 (2022) - [i72]Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci:
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem. CoRR abs/2203.12145 (2022) - [i71]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-guided attention for improved polyp segmentation. CoRR abs/2205.04280 (2022) - [i70]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci:
Transformer based Generative Adversarial Network for Liver Segmentation. CoRR abs/2205.10663 (2022) - [i69]Zheyuan Zhang, Ulas Bagci:
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. CoRR abs/2206.00771 (2022) - [i68]Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha:
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CoRR abs/2206.06264 (2022) - [i67]Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CoRR abs/2206.08298 (2022) - [i66]Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha:
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. CoRR abs/2206.08985 (2022) - [i65]Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. CoRR abs/2206.10531 (2022) - [i64]Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci:
Video Analytics in Elite Soccer: A Distributed Computing Perspective. CoRR abs/2206.11335 (2022) - [i63]Ismail Irmakci, Zeki Emre Unel, Nazli Ikizler-Cinbis, Ulas Bagci:
Multi-Contrast MRI Segmentation Trained on Synthetic Images. CoRR abs/2207.02469 (2022) - [i62]Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Haydar Celik, Tolga Çukur:
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers. CoRR abs/2207.09529 (2022) - [i61]Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov:
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. CoRR abs/2208.03392 (2022) - [i60]Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation. CoRR abs/2208.07417 (2022) - [i59]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. CoRR abs/2210.13595 (2022) - [i58]Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci:
Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation. CoRR abs/2210.16704 (2022) - [i57]Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. CoRR abs/2212.09950 (2022) - 2021
- [j36]Samira Masoudi, Sherif Mehralivand, Stephanie A. Harmon, Nathan Lay, Liza Lindenberg, Esther Mena, Peter A. Pinto, Deborah E. Citrin, James L. Gulley, Bradford J. Wood, William L. Dahut, Ravi A. Madan, Ulas Bagci, Peter L. Choyke, Baris Turkbey:
Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. IEEE Access 9: 87531-87542 (2021) - [j35]Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci:
Capsules for biomedical image segmentation. Medical Image Anal. 68: 101889 (2021) - [j34]Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci, Hassan Foroosh:
Maximum Probability Theorem: A Framework for Probabilistic Machine Learning. IEEE Trans. Artif. Intell. 2(3): 214-227 (2021) - [c66]Can Zheng, Xinlu Chen, Bach Thanh Nguyen, Pia Sanpitak, Jasmine Vu, Ulas Bagci, Laleh Golestanirad:
Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach*. EMBC 2021: 4204-4208 - [c65]Carmelo Pino, Simone Palazzo, Francesca Trenta, Francesca Cordero, Ulas Bagci, Francesco Rundo, Sebastiano Battiato, Daniela Giordano, Marco Aldinucci, Concetto Spampinato:
Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. ISBI 2021: 891-894 - [c64]Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. ISBI 2021: 1201-1205 - [c63]Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning forPancreas Segmentation. MLMI@MICCAI 2021: 238-247 - [c62]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI 2021: 396-405 - [i56]Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat, Javid Iqbal, Ulas Bagci, Muhammad Majid:
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data. CoRR abs/2101.02876 (2021) - [i55]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR abs/2104.02869 (2021) - [i54]Rodney LaLonde, Naji Khosravan, Ulas Bagci:
Deformable Capsules for Object Detection. CoRR abs/2104.05031 (2021) - [i53]Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning for Pancreas Segmentation. CoRR abs/2109.01667 (2021) - 2020
- [j33]Sumit Laha, Rodney LaLonde, Austin E. Carmack, Hassan Foroosh, John C. Olson, Saad Shaikh, Ulas Bagci:
Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification. Frontiers Comput. Sci. 2: 24 (2020) - [j32]Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci:
EEG Based Classification of Long-Term Stress Using Psychological Labeling. Sensors 20(7): 1886 (2020) - [j31]Samira Masoudi, Afsaneh Razi, Cameron H. G. Wright, Jesse C. Gatlin, Ulas Bagci:
Instance-Level Microtubule Tracking. IEEE Trans. Medical Imaging 39(6): 2061-2075 (2020) - [c61]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. EMBC 2020: 1624-1628 - [c60]Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci:
Variational Capsule Encoder. ICPR 2020: 5820-5827 - [c59]Francesca Murabito, Simone Palazzo, Federica Proietto Salanitri, Francesco Rundo, Ulas Bagci, Daniela Giordano, Rosalia Leonardi, Concetto Spampinato:
Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. ICPR 2020: 9062-9067 - [c58]Simone Palazzo, Giovanni Bellitto, Luca Prezzavento, Francesco Rundo, Ulas Bagci, Daniela Giordano, Rosalia Leonardi, Concetto Spampinato:
Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans. ICPR 2020: 9982-9987 - [c57]Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci:
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. ISBI 2020: 1086-1090 - [c56]Sobia Yousaf, Harish RaviPrakash, Syed Muhammad Anwar, Nosheen Sohail, Ulas Bagci:
State-of-the-Art in Brain Tumor Segmentation and Current Challenges. MLCN/RNO-AI@MICCAI 2020: 189-198 - [c55]Asma Shaheen, Stefano Burigat, Ulas Bagci, Hassan Mohy-ud-Din:
Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features. MLCN/RNO-AI@MICCAI 2020: 259-267 - [c54]Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci:
Brain Tumor Survival Prediction Using Radiomics Features. MLCN/RNO-AI@MICCAI 2020: 284-293 - [c53]Rodney LaLonde, Drew A. Torigian, Ulas Bagci:
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses. MICCAI (1) 2020: 294-304 - [i52]Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci:
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. CoRR abs/2001.03305 (2020) - [i51]Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci:
Deep Learning for Musculoskeletal Image Analysis. CoRR abs/2003.00541 (2020) - [i50]Rodney LaLonde, Ziyue Xu, Sanjay Jain, Ulas Bagci:
Capsules for Biomedical Image Segmentation. CoRR abs/2004.04736 (2020) - [i49]Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari:
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020) - [i48]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. CoRR abs/2005.05761 (2020) - [i47]Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci:
Brain Tumor Survival Prediction using Radiomics Features. CoRR abs/2009.02903 (2020) - [i46]Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci:
Variational Capsule Encoder. CoRR abs/2010.09102 (2020)
2010 – 2019
- 2019
- [j30]Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, Lawrence H. Schwartz, Sachin Jambawalikar, Ulas Bagci:
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 32(4): 597-604 (2019) - [j29]Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford J. Wood, Ulas Bagci:
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. Medical Image Anal. 51: 101-115 (2019) - [j28]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [j27]Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. S. Spencer, Luigi Ferrucci, Ulas Bagci:
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. IEEE Trans. Biomed. Eng. 66(4): 1069-1081 (2019) - [j26]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice S. Lee, Ulas Bagci:
Deep Geodesic Learning for Segmentation and Anatomical Landmarking. IEEE Trans. Medical Imaging 38(4): 919-931 (2019) - [j25]Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches. IEEE Trans. Medical Imaging 38(8): 1777-1787 (2019) - [j24]Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth:
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE Trans. Medical Imaging 38(8): 1858-1874 (2019) - [c52]Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci:
Deep Learning for Musculoskeletal Image Analysis. ACSSC 2019: 1481-1485 - [c51]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. EMBC 2019: 1201-1204 - [c50]Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Classification of Perceived Human Stress using Physiological Signals. EMBC 2019: 1247-1250 - [c49]Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci:
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. RNO-AI@MICCAI 2019: 24-35 - [c48]Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar:
Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. DART/MIL3ID@MICCAI 2019: 63-71 - [c47]Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci:
PAN: Projective Adversarial Network for Medical Image Segmentation. MICCAI (6) 2019: 68-76 - [c46]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. MICCAI (5) 2019: 101-109 - [c45]Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci:
Weakly Supervised Segmentation by a Deep Geodesic Prior. MLMI@MICCAI 2019: 238-246 - [p2]Harish RaviPrakash, Arjun Watane, Sachin Jambawalikar, Ulas Bagci:
Deep Learning for Functional Brain Connectivity: Are We There Yet? Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 347-365 - [p1]Milena Korostenskaja, Harish Raviprakash, Ulas Bagci, Ki H. Lee, P. C. Chen, Christoph Kapeller, C. Salinas, M. Westerveld, Anca L. Ralescu, J. Xiang, James Baumgartner, M. Elsayed, E. M. Castillo:
Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promising Functional Mapping Modality. Brain-Computer Interface Research (7) 2019: 11-29 - [i45]Samira Masoudi, Afsaneh Razi, Cameron H. G. Wright, Jesse C. Gatlin, Ulas Bagci:
Instance-Level Microtubule Segmentation Using Recurrent Attention. CoRR abs/1901.06006 (2019) - [i44]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i43]Neslisah Torosdagli, Mary McIntosh, Denise K. Liberton, Payal Verma, Murat Sincan, Wade W. Han, Janice S. Lee, Ulas Bagci:
Relational Reasoning Network (RRN) for Anatomical Landmarking. CoRR abs/1904.04354 (2019) - [i42]Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Classification of Perceived Human Stress using Physiological Signals. CoRR abs/1905.06384 (2019) - [i41]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. CoRR abs/1905.10423 (2019) - [i40]Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci:
PAN: Projective Adversarial Network for Medical Image Segmentation. CoRR abs/1906.04378 (2019) - [i39]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. CoRR abs/1907.00437 (2019) - [i38]Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci:
Electroencephalography based Classification of Long-term Stress using Psychological Labeling. CoRR abs/1907.07671 (2019) - [i37]Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci:
Weakly Supervised Segmentation by A Deep Geodesic Prior. CoRR abs/1908.06498 (2019) - [i36]Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar:
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans. CoRR abs/1908.10208 (2019) - [i35]Rodney LaLonde, Drew A. Torigian, Ulas Bagci:
Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses. CoRR abs/1909.05926 (2019) - [i34]Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci:
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. CoRR abs/1910.07470 (2019) - 2018
- [j23]Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [j22]Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci:
Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. 46: 229-243 (2018) - [c44]Naji Khosravan, Ulas Bagci:
Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis. EMBC 2018: 710-713 - [c43]Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci:
How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis. ISBI 2018: 240-244 - [c42]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis. ISBI 2018: 800-804 - [c41]Aliasghar Mortazi, Ulas Bagci:
Automatically Designing CNN Architectures for Medical Image Segmentation. MLMI@MICCAI 2018: 98-106 - [c40]Naji Khosravan, Ulas Bagci:
S4ND: Single-Shot Single-Scale Lung Nodule Detection. MICCAI (2) 2018: 794-802 - [i33]Sarfaraz Hussein, Maria M. J. Chuquicusma, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Supervised and Unsupervised Tumor Characterization in the Deep Learning Era. CoRR abs/1801.03230 (2018) - [i32]Naji Khosravan, Ulas Bagci:
Semi-supervised multi-task learning for lung cancer diagnosis. CoRR abs/1802.06181 (2018) - [i31]Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford J. Wood, Ulas Bagci:
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning. CoRR abs/1802.06260 (2018) - [i30]Rodney LaLonde, Ulas Bagci:
Capsules for Object Segmentation. CoRR abs/1804.04241 (2018) - [i29]Naji Khosravan, Ulas Bagci:
S4ND: Single-Shot Single-Scale Lung Nodule Detection. CoRR abs/1805.02279 (2018) - [i28]Nandakishore Puttashamachar, Ulas Bagci:
End to End Brain Fiber Orientation Estimation using Deep Learning. CoRR abs/1806.03969 (2018) - [i27]Aliasghar Mortazi, Ulas Bagci:
Automatically Designing CNN Architectures for Medical Image Segmentation. CoRR abs/1807.07663 (2018) - [i26]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice S. Lee, Ulas Bagci:
Deep Geodesic Learning for Segmentation and Anatomical Landmarking. CoRR abs/1810.04021 (2018) - [i25]Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. S. Spencer, Luigi Ferrucci, Ulas Bagci:
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. CoRR abs/1810.06071 (2018) - [i24]Enes Karaaslan, Ulas Bagci, F. Necati Catbas:
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems. CoRR abs/1812.05659 (2018) - 2017
- [j21]Dehui Xiang, Ulas Bagci, Chao Jin, Fei Shi, Weifang Zhu, Jianhua Yao, Milan Sonka, Xinjian Chen:
CorteXpert: A model-based method for automatic renal cortex segmentation. Medical Image Anal. 42: 257-273 (2017) - [j20]Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Ulas Bagci, Xinjian Chen:
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. IEEE J. Biomed. Health Informatics 21(6): 1656-1666 (2017) - [j19]Sarfaraz Hussein, Aileen Green, Arjun Watane, David Reiter, Xinjian Chen, Georgios Z. Papadakis, Bradford J. Wood, Aaron Cypess, Medhat M. Osman, Ulas Bagci:
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. IEEE Trans. Medical Imaging 36(3): 734-744 (2017) - [c39]Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci:
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. IPMI 2017: 249-260 - [c38]Sarfaraz Hussein, Robert J. Gillies, Kunlin Cao, Qi Song, Ulas Bagci:
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process. ISBI 2017: 1007-1010 - [c37]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice Lee, Sumanta N. Pattanaik, Ulas Bagci:
Robust and fully automated segmentation of mandible from CT scans. ISBI 2017: 1209-1212 - [c36]Aliasghar Mortazi, Jeremy Burt, Ulas Bagci:
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT. STACOM@MICCAI 2017: 199-206 - [c35]Aliasghar Mortazi, Rashed Karim, Kawal S. Rhode, Jeremy Burt, Ulas Bagci:
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN. MICCAI (2) 2017: 377-385 - [c34]Harish RaviPrakash, Milena Korostenskaja, Ki Lee, James Baumgartner, Eduardo Castillo, Ulas Bagci:
Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning. SMC 2017: 519-524 - [i23]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice Lee, Sumanta N. Pattanaik, Ulas Bagci:
Robust and fully automated segmentation of mandible from CT scans. CoRR abs/1702.07059 (2017) - [i22]Sarfaraz Hussein, Robert J. Gillies, Kunlin Cao, Qi Song, Ulas Bagci:
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process. CoRR abs/1703.00645 (2017) - [i21]Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci:
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. CoRR abs/1704.08797 (2017) - [i20]Aliasghar Mortazi, Rashed Karim, Kawal S. Rhode, Jeremy Burt, Ulas Bagci:
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN. CoRR abs/1705.06333 (2017) - [i19]Harish RaviPrakash, Milena Korostenskaja, Eduardo Castillo, Ki Lee, James Baumgartner, Ulas Bagci:
Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning. CoRR abs/1706.01380 (2017) - [i18]Aliasghar Mortazi, Jeremy Burt, Ulas Bagci:
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT. CoRR abs/1708.00983 (2017) - [i17]Dustin Morley, Hassan Foroosh, Saad Shaikh, Ulas Bagci:
Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning. CoRR abs/1708.05464 (2017) - [i16]Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci:
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis. CoRR abs/1710.09762 (2017) - [i15]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis. CoRR abs/1710.09779 (2017) - 2016
- [j18]Yuwei Zhou, Uygar Teomete, Ozgür Dandin, Onur Osman, Taner Dandinoglu, Ulas Bagci, Weizhao Zhao:
Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm. Comput. Biol. Medicine 78: 120-125 (2016) - [j17]Sema Candemir, Stefan Jaeger, Sameer K. Antani, Ulas Bagci, Les R. Folio, Ziyue Xu, George R. Thoma:
Atlas-based rib-bone detection in chest X-rays. Comput. Medical Imaging Graph. 51: 32-39 (2016) - [c33]Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. MCV/BAMBI@MICCAI 2016: 94-104 - [c32]Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura:
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI (1) 2016: 662-670 - [i14]Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. CoRR abs/1608.03235 (2016) - [i13]Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura:
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features. CoRR abs/1609.06668 (2016) - 2015
- [j16]Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Jayaram K. Udupa, Daniel J. Mollura:
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Medical Image Anal. 24(1): 1-17 (2015) - [j15]Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura:
Correction to "A Generic Approach to Pathological Lung Segmentation". IEEE Trans. Medical Imaging 34(1): 354 (2015) - [c31]Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura:
Highly precise partial volume correction for PET images: An iterative approach via shape consistency. ISBI 2015: 1196-1199 - [i12]Sarfaraz Hussein, Aileen Green, Arjun Watane, Georgios Z. Papadakis, Medhat M. Osman, Ulas Bagci:
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes. CoRR abs/1512.04958 (2015) - 2014
- [j14]Brent Foster, Ulas Bagci, Awais Mansoor, Ziyue Xu, Daniel J. Mollura:
A review on segmentation of positron emission tomography images. Comput. Biol. Medicine 50: 76-96 (2014) - [j13]Brent Foster, Ulas Bagci, Ziyue Xu, Bappaditya Dey, Brian Luna, William Bishai, Sanjay Jain, Daniel J. Mollura:
Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. IEEE Trans. Biomed. Eng. 61(3): 711-724 (2014) - [j12]Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura:
A Generic Approach to Pathological Lung Segmentation. IEEE Trans. Medical Imaging 33(12): 2293-2310 (2014) - [c30]Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura:
CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. EMBC 2014: 1087-1090 - [c29]Ziyue Xu, Ulas Bagci, Colleen B. Jonsson, Sanjay Jain, Daniel J. Mollura:
Efficient ribcage segmentation from CT scans using shape features. EMBC 2014: 2899-2902 - [c28]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Near-optimal keypoint sampling for fast pathological lung segmentation. EMBC 2014: 6032-6035 - [c27]Ziyue Xu, Ulas Bagci, Colleen B. Jonsson, Sanjay Jain, Daniel J. Mollura:
Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. EMBC 2014: 6036-6039 - [c26]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Optimally Stabilized PET Image Denoising Using Trilateral Filtering. MICCAI (1) 2014: 130-137 - [c25]Ziyue Xu, Ulas Bagci, Jurgen Seidel, David Thomasson, Jeffrey M. Solomon, Daniel J. Mollura:
Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. MICCAI (1) 2014: 698-705 - [i11]Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura:
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans. CoRR abs/1407.3176 (2014) - [i10]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation. CoRR abs/1407.3179 (2014) - [i9]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Optimally Stabilized PET Image Denoising Using Trilateral Filtering. CoRR abs/1407.3193 (2014) - 2013
- [j11]Ulas Bagci, Kirsten Miller-Jaster, Kenneth N. Olivier, Jianhua Yao, Daniel J. Mollura:
Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections. Comput. Biol. Medicine 43(9): 1241-1251 (2013) - [j10]Ulas Bagci, Jayaram K. Udupa, Neil Mendhiratta, Brent Foster, Ziyue Xu, Jianhua Yao, Xinjian Chen, Daniel J. Mollura:
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. Medical Image Anal. 17(8): 929-945 (2013) - [j9]Poay Hoon Lim, Ulas Bagci, Li Bai:
Introducing Willmore Flow Into Level Set Segmentation of Spinal Vertebrae. IEEE Trans. Biomed. Eng. 60(1): 115-122 (2013) - [c24]Ziyue Xu, Ulas Bagci, Brent Foster, Daniel J. Mollura:
A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. ISBI 2013: 1308-1311 - [c23]Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, William Bishai, Sanjay Jain, Ziyue Xu, Daniel J. Mollura:
Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. ISBI 2013: 1461-1464 - [c22]Ulas Bagci, Daniel J. Mollura:
Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate. MICCAI (3) 2013: 115-122 - [c21]Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Daniel J. Mollura:
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. MICCAI (2) 2013: 559-566 - 2012
- [j8]Ulas Bagci, Mike Bray, Jesus Caban, Jianhua Yao, Daniel J. Mollura:
Computer-assisted detection of infectious lung diseases: A review. Comput. Medical Imaging Graph. 36(1): 72-84 (2012) - [j7]Ulas Bagci, Mike Bray, Jesus Caban, Jianhua Yao, Daniel J. Mollura:
Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84]. Comput. Medical Imaging Graph. 36(2): 169 (2012) - [j6]Ulas Bagci, Jianhua Yao, Albert Wu, Jesus Caban, Tara N. Palmore, Anthony F. Suffredini, Omer Aras, Daniel J. Mollura:
Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans. IEEE Trans. Biomed. Eng. 59(6): 1620-1632 (2012) - [j5]Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, Ying Zhuge, Jianhua Yao:
Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models. IEEE Trans. Image Process. 21(4): 2035-2046 (2012) - [j4]Ulas Bagci, Xinjian Chen, Jayaram K. Udupa:
Hierarchical Scale-Based Multiobject Recognition of 3-D Anatomical Structures. IEEE Trans. Medical Imaging 31(3): 777-789 (2012) - [c20]Jesus J. Caban, Ulas Bagci, Alem Mehari, Shoaib Alam, Joseph R. Fontana, Gregory J. Kato, Daniel J. Mollura:
Characterizing non-linear dependencies among pairs of clinical variables and imaging data. EMBC 2012: 2700-2703 - [c19]Ulas Bagci, Kirsten Miller-Jaster, Jianhua Yao, Albert Wu, Jesus Caban, Kenneth N. Olivier, Omer Aras, Daniel J. Mollura:
Automatic quantification of Tree-in-Bud patterns from CT scans. ISBI 2012: 1459-1462 - [c18]Poay Hoon Lim, Ulas Bagci, Omer Aras, Yan Wang, Li Bai:
A novel spinal vertebrae segmentation framework combining geometric flow and shape prior with level set method. ISBI 2012: 1703-1706 - [c17]Ulas Bagci, Jayaram K. Udupa, Jianhua Yao, Daniel J. Mollura:
Co-segmentation of Functional and Anatomical Images. MICCAI (3) 2012: 459-467 - 2011
- [c16]Poay Hoon Lim, Ulas Bagci, Li Bai:
A New Prior Shape Model for Level Set Segmentation. CIARP 2011: 125-132 - [c15]Ulas Bagci, Jianhua Yao, Jesus Caban, Tara N. Palmore, Anthony F. Suffredini, Daniel J. Mollura:
Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections. EMBC 2011: 5096-5099 - [c14]Jesus J. Caban, Jianhua Yao, Ulas Bagci, Daniel J. Mollura:
Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features. EMBC 2011: 6216-6219 - [c13]Ulas Bagci, Jianhua Yao, Jesus Caban, Evrim Turkbey, Omer Aras, Daniel J. Mollura:
A graph-theoretic approach for segmentation of PET images. EMBC 2011: 8479-8482 - [c12]Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura:
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. MICCAI (3) 2011: 215-222 - [c11]Ulas Bagci, Jayaram K. Udupa, Xinjian Chen:
Intensity non-standardness affects computer recognition of anatomical structures. Medical Imaging: Image-Guided Procedures 2011: 79642M - [c10]Ulas Bagci, Jayaram K. Udupa, Xinjian Chen:
Orientation estimation of anatomical structures in medical images for object recognition. Medical Imaging: Image Processing 2011: 79622L - [i8]Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura:
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. CoRR abs/1106.5186 (2011) - 2010
- [j3]Ulas Bagci, Jayaram K. Udupa, Li Bai:
The role of intensity standardization in medical image registration. Pattern Recognit. Lett. 31(4): 315-323 (2010) - [j2]Ulas Bagci, Li Bai:
Automatic Best Reference Slice Selection for Smooth Volume Reconstruction of a Mouse Brain From Histological Images. IEEE Trans. Medical Imaging 29(9): 1688-1696 (2010) - [c9]Xinjian Chen, Jianhua Yao, Ying Zhuge, Ulas Bagci:
3D automatic anatomy segmentation based on graph cut-oriented active appearance models. ICIP 2010: 3653-3656 - [c8]Ulas Bagci, Jayaram K. Udupa, Li Bai:
The influence of intensity standardization on medical image registration. Medical Imaging: Image-Guided Procedures 2010: 76251X - [c7]Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, Abass Alavi, Drew A. Torigian:
3D automatic anatomy recognition based on iterative graph-cut-ASM. Medical Imaging: Image-Guided Procedures 2010: 76251T - [c6]Ulas Bagci, Jayaram K. Udupa, Xinjian Chen:
Ball-scale based hierarchical multi-object recognition in 3D medical images. Medical Imaging: Image Processing 2010: 762345 - [i7]Ulas Bagci, Jayaram K. Udupa, Li Bai:
The Influence of Intensity Standardization on Medical Image Registration. CoRR abs/1002.1285 (2010) - [i6]Ulas Bagci, Jayaram K. Udupa, Xinjian Chen:
Ball-Scale Based Hierarchical Multi-Object Recognition in 3D Medical Images. CoRR abs/1002.1288 (2010)
2000 – 2009
- 2009
- [i5]Ulas Bagci, Li Bai:
Multiresolution Elastic Medical Image Registration in Standard Intensity Scale. CoRR abs/0907.2075 (2009) - [i4]Ulas Bagci, Li Bai:
Registration of Standardized Histological Images in Feature Space. CoRR abs/0907.3209 (2009) - [i3]Ulas Bagci, Li Bai:
Fully Automatic 3D Reconstruction of Histological Images. CoRR abs/0907.3215 (2009) - [i2]Ulas Bagci, Li Bai:
Parallel AdaBoost Algorithm for Gabor Wavelet Selection in Face Recognition. CoRR abs/0907.3218 (2009) - [i1]Ulas Bagci, Engin Erzin:
Inter Genre Similarity Modelling For Automatic Music Genre Classification. CoRR abs/0907.3220 (2009) - 2008
- [c5]Ulas Bagci, Li Bai:
Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition. ICIP 2008: 1640-1643 - [c4]Ulas Bagci, Li Bai:
Fully automatic 3D reconstruction of histological images. ISBI 2008: 991-994 - [c3]Ulas Bagci, Li Bai:
Registration of standardized histological images in feature space. Medical Imaging: Image Processing 2008: 69142V - 2007
- [j1]Ulas Bagci, Engin Erzin:
Automatic Classification of Musical Genres Using Inter-Genre Similarity. IEEE Signal Process. Lett. 14(8): 521-524 (2007) - [c2]Ulas Bagci, Li Bai:
Multiresolution Elastic Medical Image Registration in Standard Intensity Scale. SIBGRAPI 2007: 305-312 - 2005
- [c1]Ulas Bagci, Engin Erzin:
Boosting Classifiers for Music Genre Classification. ISCIS 2005: 575-584
Coauthor Index
[j47] [j43] [c115] [c113] [c112] [c111] [c109] [c108] [c107] [c104] [c102] [c101] [c100] [c99] [c96] [c94] [i129] [i128] [i126] [i125] [i124] [i123] [i122] [i120] [i117] [i116] [i114] [i113] [i112] [i111] [i110] [c91] [c90] [c89] [c84] [c81] [c80] [c78] [i109] [i108] [i105] [i104] [i101] [i100] [i98] [i96] [i94] [i93] [i91] [i86] [i83] [i82] [i77] [i76] [i75] [c77] [c76] [c73] [c72] [c70] [c69] [i71] [i70] [i68] [i67] [i66] [i64] [i61] [i60] [i59] [i58] [i57]
Harish RaviPrakash
aka: Harish Raviprakash
aka: Harish Raviprakash
Baris Turkbey
aka: Ismail Baris Turkbey
aka: Ismail Baris Turkbey
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 00:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
