default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMIUA 2022: Cambridge, UK
- Guang Yang
, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb:
Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Lecture Notes in Computer Science 13413, Springer 2022, ISBN 978-3-031-12052-7
Biomarker Detection
- Emily Cresswell, Fredrik Karpe, Nicolas Basty:
Neck Fat Estimation from DXA Using Convolutional Neural Networks. 3-12 - Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartlomiej W. Papiez, Adam Mahdi:
Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers. 13-27 - Isobel Gordon, George P. Ralli, Carolina Fernandes, Amy H. Herlihy, Michael Brady:
Proton Density Fat Fraction of Breast Adipose Tissue: Comparison of the Effect of Fat Spectra and Initial Evaluation as a Biomarker. 28-45 - Adriano Lucieri, Fabian Schmeisser, Christoph Peter Balada, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification. 46-61
Novel Imaging, Image Registration and Reconstruction
- Pengfang Qian, Junwei Yang, Pietro Lió, Peng Hu, Haikun Qi:
Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net. 65-74 - Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Tonia Vincent, Ngee Han Lim, Bartlomiej W. Papiez:
Recursive Deformable Image Registration Network with Mutual Attention. 75-86 - Dankun Lian, Yue Li, Huafeng Liu:
Spatiotemporal Attention Constrained Deep Learning Framework for Dual-Tracer PET Imaging. 87-100 - Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction. 101-115 - Chenxi Lu, Bo Dong, Xi Hu, Yang Zhao, Hongjian He, Jing Wang:
Preoperative CT and Intraoperative CBCT Image Registration and Evaluation in Robotic Cochlear Implant Surgery. 116-129 - Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. 130-138 - Nabeel Khalid, Fabian Schmeisser, Mohammadmahdi Koochali, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation. 139-153
Image Interpretation
- Gorkem Polat, Ilkay Ergenc, Haluk Tarik Kani, Yesim Ozen Alahdab, Ozlen Atug, Alptekin Temizel:
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation. 157-171 - Lei Ye, Eugénie Hunsicker, Baihua Li, Diwei Zhou:
Procrustes Analysis of Muscle Fascicle Shapes Based on DTI Fibre Tracking. 172-186 - Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Weakly Supervised Captioning of Ultrasound Images. 187-198 - Manu Goyal, Neil D. Reeves, Satyan Rajbhandari, Moi Hoon Yap:
Computerised Methods for Monitoring Diabetic Foot Ulcers on Plantar Foot: A Feasibility Study. 199-211 - Royden Wagner, Karl Rohr:
CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection. 212-222 - Heng Yu, Di Fan, Weihu Song:
GPU-Net: Lightweight U-Net with More Diverse Features. 223-233 - Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub:
Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays. 234-250
Image Segmentation
- Bin Kong, Xin Wang, Yi Lu, Hao-Yu Yang, Kunlin Cao, Qi Song, Youbing Yin:
Ultrasonography Uterus and Fetus Segmentation with Constrained Spatial-Temporal Memory FCN. 253-261 - Zhendi Gong, Rosemary Nicholas, Susan T. Francis, Xin Chen:
Thigh and Calf Muscles Segmentation Using Ensemble of Patch-Based Deep Convolutional Neural Network on Whole-Body Water-Fat MRI. 262-270 - Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. 271-282 - Karl Bengtsson Bernander, Joakim Lindblad, Robin Strand, Ingela Nyström:
Rotation-Equivariant Semantic Instance Segmentation on Biomedical Images. 283-297 - Md. Atik Ahamed, Abdullah-Al-Zubaer Imran:
Joint Learning with Local and Global Consistency for Improved Medical Image Segmentation. 298-312 - Hao Li, Yang Nan, Guang Yang:
LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation. 313-327 - Pengcheng Xu, Kyung Sang Kim, Huafeng Liu, Quanzheng Li:
Attention-Fused CNN Model Compression with Knowledge Distillation for Brain Tumor Segmentation. 328-338 - Samar Ibrahim, Kareem Elgohary, Mahmoud Higazy, Thanaa Mohannad, Sahar Selim, Mustafa A. Alattar:
Lung Segmentation Using ResUnet++ Powered by Variational Auto Encoder-Based Enhancement in Chest X-ray Images. 339-356 - Neda Azarmehr, Adam J. Shephard, Hanya Mahmood, Nasir M. Rajpoot, Syed Ali Khurram:
A Neural Architecture Search Based Framework for Segmentation of Epithelium, Nuclei and Oral Epithelial Dysplasia Grading. 357-370 - S. M. Kamrul Hasan, Cristian A. Linte:
STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation. 371-386 - Sergio Naval Marimont, Giacomo Tarroni:
Implicit U-Net for Volumetric Medical Image Segmentation. 387-397 - Nora Vogt, Zobair Arya, Luis Núñez, Kezia Hobson, John Connell, Michael Brady, Paul Aljabar:
A Deep-Learning Lesion Segmentation Model that Addresses Class Imbalance and Expected Low Probability Tissue Abnormalities in Pre and Postoperative Liver MRI. 398-411 - Dániel Unyi, Ferdinando Insalata, Petar Velickovic, Bálint Gyires-Tóth:
Utility of Equivariant Message Passing in Cortical Mesh Segmentation. 412-424 - Raja Muhammad Saad Bashir, Muhammad Shaban, Shan E Ahmed Raza, Syed Ali Khurram, Nasir M. Rajpoot:
A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images. 425-439
Generative Adversarial Network, Transformer and New Models
- Yiming Xie, Ahmed E. Fetit:
How Effective is Adversarial Training of CNNs in Medical Image Analysis? 443-457 - Qifan Zhou, Hujun Yin:
A U-Net Based Progressive GAN for Microscopic Image Augmentation. 458-468 - Abdulah Fawaz, Logan Z. J. Williams, A. David Edwards, Emma C. Robinson:
A Deep Generative Model of Neonatal Cortical Surface Development. 469-481 - Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi:
A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging. 482-493 - Ziyang Wang, Jian-Qing Zheng, Irina Voiculescu:
An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers. 494-507 - Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin:
SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron. 508-518 - Vittorino Mandujano-Cornejo, Javier A. Montoya-Zegarra:
Polyp2Seg: Improved Polyp Segmentation with Vision Transformer. 519-534 - Kerr Fitzgerald, Meng Law, Jarrel Seah, Jennifer Tang, Bogdan J. Matuszewski:
Multi-resolution Fine-Tuning of Vision Transformers. 535-546 - Michael Yeung, Todd Watts, Guang Yang:
From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation. 547-561
Image Classification
- Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker:
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. 565-577 - Shubham Dodia, B. Annappa, Mahesh Padukudru Anand:
A Novel Bi-level Lung Cancer Classification System on CT Scans. 578-593 - Hongzhi Zhu, Robert Rohling, Septimiu E. Salcudean:
Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images with Multi-task UNet. 594-608 - Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. 609-622 - Francesco Dalla Serra, Grzegorz Jacenków, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil:
Improving Image Representations via MoCo Pre-training for Multimodal CXR Classification. 623-635 - Guillaume Pelluet, Mira Rizkallah, Mickael Tardy, Oscar Acosta, Diana Mateus:
Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection. 636-650 - Md. Mostafa Kamal Sarker, Carlos Francisco Moreno-García, Jinchang Ren, Eyad Elyan:
TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers. 651-660
Image Enhancement, Quality Assessment, and Data Privacy
- Xiaochuan Li, Yuan Ke:
Privacy Preserving and Communication Efficient Information Enhancement for Imbalanced Medical Image Classification. 663-679 - Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub:
Contrastive Pretraining for Echocardiography Segmentation with Limited Data. 680-691 - Huihui Li, Pengfei Yang, Xin Ge, Tianye Niu:
High-Quality 4D-CBCT Imaging from Single Routine Scan. 692-702 - Furkan Kaynar, Peter Geißler, Laurent Demaret, Tamara Seybold, Walter Stechele:
Non-iterative Blind Deblurring of Digital Microscope Images with Spatially Varying Blur. 703-718 - Laura Carolina Martínez Esmeral, Andreas Uhl:
Low-Effort Re-identification Techniques Based on Medical Imagery Threaten Patient Privacy. 719-733 - Mustapha Zokay, Hicham Saylani:
Removing Specular Reflection in Multispectral Dermatological Images Using Blind Source Separation. 734-750 - Hesham Ali, Mustafa A. Alattar, Sahar Selim:
A Multi-scale Self-supervision Method for Improving Cell Nuclei Segmentation in Pathological Tissues. 751-763
Radiomics, Predictive Models, and Quantitative Imaging
- Francesco Bianconi, Mario Luca Fravolini, Giulia Pascoletti, Isabella Palumbo, Michele Scialpi, Cynthia Aristei, Barbara Palumbo:
Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT. 767-777 - Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo:
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool. 778-786 - Cynthia Maldonado García, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi:
Predicting Myocardial Infarction Using Retinal OCT Imaging. 787-797 - Andres F. Vargas, Angie Hernández, Ana Ramirez, Said Pertuz:
On the Feasibility of Radiomic Analysis for the Detection of Breast Lesions in Speed-of-Sound Images of the Breast. 798-813 - Asmaa Elsayed, Hanya Mostafa, Reem Tarek, Kareem Mohamed, Abdelaziz Hossam, Sahar Selim:
Oral Dental Diagnosis Using Deep Learning Techniques: A Review. 814-832 - Youssef Arafat, Constantino Carlos Reyes-Aldasoro:
Computational Image Analysis Techniques, Programming Languages and Software Platforms Used in Cancer Research: A Scoping Review. 833-847
Image-Guided Intervention
- Adrian Krenzer, Joel Troya, Michael Banck, Boban Sudarevic, Krzysztof Flisikowski, Alexander Meining, Frank Puppe:
A User Interface for Automatic Polyp Detection Based on Deep Learning with Extended Vision. 851-868 - Laura Busto, José A. González-Nóvoa, Pablo Juan-Salvadores, Víctor Jiménez, Andrés Íñiguez, César Veiga:
Using Deep Learning on X-ray Orthogonal Coronary Angiograms for Quantitative Coronary Analysis. 869-881 - Hossam Mohamed Sarhan, Hesham Ali, Eman Ehab, Sahar Selim, Mustafa Elattar:
Efficient Pipeline for Rapid Detection of Catheters and Tubes in Chest Radiographs. 882-891 - Edward Sanderson, Bogdan J. Matuszewski:
FCN-Transformer Feature Fusion for Polyp Segmentation. 892-907
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.
last updated on 2024-11-20 21:06 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:
