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ORCIDSanjay N. Talbar
Person information
- affiliation: Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India
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Journal Articles
- 2025
[j41]Anita Thengade
, A. M. Rajurkar, Sanjay N. Talbar:
Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging. Int. J. Imaging Syst. Technol. 35(1) (2025)- 2024
- [j40]Supriya Rajankar, Omprakash S. Rajankar, Sanjay N. Talbar, Vrushali Raut:
Signal Adaptive Threshold for ECG Signal Compression Using False Discovery Rate Approach. Circuits Syst. Signal Process. 43(8): 5065-5089 (2024) - 2023
- [j39]Devidas T. Kushnure, Shweta Tyagi, Sanjay N. Talbar:
LiM-Net: Lightweight multi-level multiscale network with deep residual learning for automatic liver segmentation in CT images. Biomed. Signal Process. Control. 80(Part): 104305 (2023) - [j38]Shweta Tyagi, Sanjay N. Talbar:
LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module. Biomed. Signal Process. Control. 80(Part): 104391 (2023) - [j37]Shweta Tyagi, Devidas T. Kushnure, Sanjay N. Talbar:
An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation. Comput. Medical Imaging Graph. 108: 102258 (2023) - [j36]Swati P. Pawar, Sanjay N. Talbar:
Multi-level deep learning based lung cancer classifier for classification based on tumour-node-metastasis approach. Int. J. Imaging Syst. Technol. 33(3): 881-894 (2023) - [j35]Shweta Tyagi, Sanjay N. Talbar:
Predicting lung cancer treatment response from CT images using deep learning. Int. J. Imaging Syst. Technol. 33(5): 1577-1592 (2023) - 2022
- [j34]Prasad Dutande, Ujjwal Baid, Sanjay N. Talbar:
Deep Residual Separable Convolutional Neural Network for lung tumor segmentation. Comput. Biol. Medicine 141: 105161 (2022) - [j33]Shweta Tyagi, Sanjay N. Talbar:
CSE-GAN: A 3D conditional generative adversarial network with concurrent squeeze-and-excitation blocks for lung nodule segmentation. Comput. Biol. Medicine 147: 105781 (2022) - [j32]Devidas T. Kushnure, Sanjay N. Talbar:
HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images. Comput. Methods Programs Biomed. 213: 106501 (2022) - 2021
- [j31]Swati P. Pawar, Sanjay N. Talbar:
LungSeg-Net: Lung field segmentation using generative adversarial network. Biomed. Signal Process. Control. 64: 102296 (2021) - [j30]Prasad Dutande, Ujjwal Baid, Sanjay N. Talbar:
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation. Biomed. Signal Process. Control. 67: 102527 (2021) - [j29]Devidas T. Kushnure, Sanjay N. Talbar:
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images. Comput. Medical Imaging Graph. 89: 101885 (2021) - [j28]Rishikesh G. Tambe, Sanjay N. Talbar, Satishkumar S. Chavan:
Satellite image fusion using undecimated rotated wavelet transform. Int. J. Comput. Sci. Eng. 24(2): 171-184 (2021) - [j27]Gajendra Kumar Mourya, Manashjit Gogoi, Sanjay N. Talbar, Prasad Dutande, Ujjwal Baid:
Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image. Int. J. E Health Medical Commun. 12(1): 34-45 (2021) - [j26]Meenakshi Pawar, Sanjay N. Talbar:
Local entropy maximization based image fusion for contrast enhancement of mammogram. J. King Saud Univ. Comput. Inf. Sci. 33(2): 150-160 (2021) - [j25]Ganesh Singadkar, Abhishek Mahajan, Meenakshi Thakur, Sanjay N. Talbar:
Automatic lung segmentation for the inclusion of juxtapleural nodules and pulmonary vessels using curvature based border correction. J. King Saud Univ. Comput. Inf. Sci. 33(8): 975-987 (2021) - [j24]Rishikesh G. Tambe, Sanjay N. Talbar, Satishkumar S. Chavan:
Deep multi-feature learning architecture for water body segmentation from satellite images. J. Vis. Commun. Image Represent. 77: 103141 (2021) - [j23]Sachin Chaudhary, Akshay Dudhane, Prashant W. Patil, Subrahmanyam Murala, Sanjay N. Talbar:
Motion estimation in hazy videos. Pattern Recognit. Lett. 150: 130-138 (2021) - [j22]Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - 2020
- [j21]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Nilesh Sable, Mayuresh Akolkar, Abhishek Mahajan:
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. Frontiers Comput. Neurosci. 14: 10 (2020) - [j20]Ujjwal Baid, Swapnil Rane, Sanjay N. Talbar, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Abhishek Mahajan:
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning. Frontiers Comput. Neurosci. 14: 61 (2020) - [j19]Ganesh Singadkar, Abhishek Mahajan, Meenakshi Thakur, Sanjay N. Talbar:
Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation. J. Digit. Imaging 33(3): 678-684 (2020) - [j18]Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello, Sung Min Ha, Gaurav Shukla, Adam E. Flanders, Aikaterini Kotrotsou, Mikhail Milchenko, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Pamela LaMontagne, Arash Nazeri, Sanjay N. Talbar, Spyridon Bakas:
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. NeuroImage 220: 117081 (2020) - [j17]Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar:
Semantic scene segmentation in unstructured environment with modified DeepLabV3+. Pattern Recognit. Lett. 138: 223-229 (2020) - [j16]Bhakti Baheti, Sanjay N. Talbar, Suhas S. Gajre:
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network. IEEE Trans. Intell. Veh. 5(4): 565-574 (2020) - 2019
- [j15]Archana Harsing Sable, Sanjay N. Talbar:
Adaptive GLOH with PSO-trained NN for the recognition of plastic surgery faces and their types. Bio Algorithms Med Syst. 15(1) (2019) - [j14]Praful Hambarde, Sanjay N. Talbar, Nilesh Sable, Abhishek Mahajan, Satishkumar S. Chavan, Meenakshi Thakur:
Radiomics for peripheral zone and intra-prostatic urethra segmentation in MR imaging. Biomed. Signal Process. Control. 51: 19-29 (2019) - [j13]Dileep Kumar, Akash Gandhamal, Sanjay N. Talbar, Ahmad Fadzil Mohamad Hani:
Knee Articular Cartilage Segmentation from MR Images: A Review. ACM Comput. Surv. 51(5): 97:1-97:29 (2019) - [j12]Archana Harsing Sable, Sanjay N. Talbar, Haricharan Amarsing Dhirbasi:
Recognition of plastic surgery faces and the surgery types: An approach with entropy based scale invariant features. J. King Saud Univ. Comput. Inf. Sci. 31(4): 554-560 (2019) - [j11]Omprakash S. Rajankar, Uttam D. Kolekar, Sanjay N. Talbar:
Heuristics approach to speeding up saliency detection. Signal Image Video Process. 13(3): 465-473 (2019) - 2018
- [j10]Suhas G. Sapate, Abhishek Mahajan, Sanjay N. Talbar, Nilesh Sable, Subhash Desai, Meenakshi Thakur:
Radiomics based detection and characterization of suspicious lesions on full field digital mammograms. Comput. Methods Programs Biomed. 163: 1-20 (2018) - 2017
- [j9]Satishkumar S. Chavan, Abhishek Mahajan, Sanjay N. Talbar, Subhash Desai, Meenakshi Thakur, Anil D'cruz:
Nonsubsampled rotated complex wavelet transform (NSRCxWT) for medical image fusion related to clinical aspects in neurocysticercosis. Comput. Biol. Medicine 81: 64-78 (2017) - [j8]Akash Gandhamal, Sanjay N. Talbar, Suhas S. Gajre, Ahmad Fadzil M. Hani, Dileep Kumar:
Local gray level S-curve transformation - A generalized contrast enhancement technique for medical images. Comput. Biol. Medicine 83: 120-133 (2017) - [j7]Akash Gandhamal, Sanjay N. Talbar, Suhas S. Gajre, Ruslan Razak, Ahmad Fadzil M. Hani, Dileep Kumar:
Fully automated subchondral bone segmentation from knee MR images: Data from the Osteoarthritis Initiative. Comput. Biol. Medicine 88: 110-125 (2017) - 2016
- [j6]Supriya Rajankar, Sanjay N. Talbar:
A quality-on-demand electrocardiogram signal compression using modified set partitioning in hierarchical tree. Signal Image Video Process. 10(8): 1559-1566 (2016) - 2015
- [j5]Sanjay Patil, Sanjay N. Talbar:
Fusing magnitude and phase of wavelet moments for content-based image retrieval. Int. J. Comput. Vis. Robotics 5(1): 37-54 (2015) - [j4]Satishkumar S. Chavan, Sanjay N. Talbar:
Multimodality Medical Image Fusion using M-Band Wavelet and Daubechies Complex Wavelet Transform for Radiation Therapy. Int. J. Rough Sets Data Anal. 2(2): 1-23 (2015) - 2014
- [j3]Anant M. Bagade, Sanjay N. Talbar:
Secure transmission of morphed stego keys over internet using IP steganography. Int. J. Inf. Comput. Secur. 6(2): 133-142 (2014) - [j2]Anant M. Bagade, Sanjay N. Talbar:
A High Quality Steganographic Method Using Morphing. J. Inf. Process. Syst. 10(2): 256-270 (2014) - 2010
- [j1]Shilpa P. Metkar, Sanjay N. Talbar:
Fast motion estimation using modified orthogonal search algorithm for video compression. Signal Image Video Process. 4(1): 123-128 (2010)
Conference and Workshop Papers
- 2022
- [c30]Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar:
Deep Learning Based Novel Cascaded Approach for Skin Lesion Analysis. CVIP (1) 2022: 615-626 - 2021
- [c29]Devidas T. Kushnure, Sanjay N. Talbar:
MFCA-Net: Multiscale Feature Fusion with Channel-Wise Attention Network for Automatic Liver Segmentation from CT Images. CVIP (2) 2021: 110-121 - [c28]Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Ujjwal Baid:
Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images. CVPR Workshops 2021: 2960-2968 - [c27]Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar:
Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network. PReMI 2021: 181-189 - 2020
- [c26]Nisarg A. Shah, Divij Gupta, Romil Lodaya, Ujjwal Baid, Sanjay N. Talbar:
Colorectal Cancer Segmentation Using Atrous Convolution and Residual Enhanced UNet. CVIP (1) 2020: 451-462 - [c25]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c24]Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar:
Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment. CVPR Workshops 2020: 1473-1481 - [c23]Bhavana Nerkar, Sanjay N. Talbar:
Hybridizing Convolution Neural Networks to Improve the Accuracy of Plant Leaf Disease Classification. RTIP2R (2) 2020: 332-340 - 2019
- [c22]Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar, Uday Kulkarni, Christos Davatzikos, Güray Erus, Spyridon Bakas:
Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning. BrainLes@MICCAI (1) 2019: 57-68 - [c21]Ujjwal Baid, Nisarg A. Shah, Sanjay N. Talbar:
Brain Tumor Segmentation with Cascaded Deep Convolutional Neural Network. BrainLes@MICCAI (2) 2019: 90-98 - [c20]Mayuresh Shingan, Meenakshi Pawar, Sanjay N. Talbar:
A Novel Approach for False Positive Reduction in Breast Cancer Detection. CVIP (2) 2019: 364-372 - [c19]Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar:
Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network. TENCON 2019: 790-795 - [c18]Ujjwal Baid, Bhakti Baheti, Prasad Dutande, Sanjay N. Talbar:
Detection of Pathological Myopia and Optic Disc Segmentation with Deep Convolutional Neural Networks. TENCON 2019: 1345-1350 - 2018
- [c17]Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar:
Detection of Distracted Driver Using Convolutional Neural Network. CVPR Workshops 2018: 1032-1038 - [c16]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh Thakur, Abhishek Mahajan:
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas. BrainLes@MICCAI (2) 2018: 369-379 - 2017
- [c15]Ujjwal Baid, Shubham Talbar, Sanjay N. Talbar:
Brain Tumor Segmentation Based on Non Negative Matrix Factorization and Fuzzy Clustering. BIOIMAGING 2017: 134-139 - [c14]Bhakti Baheti, Krishnan Kutty, Suhas S. Gajre, Sanjay N. Talbar:
A Local Self-Similarity-Based Vehicle Detection Approach Using Single Query Image. CVIP (2) 2017: 255-264 - [c13]Akshay A. Dudhane, Sanjay N. Talbar:
Multi-Scale Directional Mask Pattern for Medical Image Classification and Retrieval. CVIP (1) 2017: 345-357 - 2012
- [c12]Kailash J. Karande, Sanjay N. Talbar, S. Sandeep Inamdar:
Face recognition using Oriented Laplacian of Gaussian (OLOG) and Independent Component Analysis (ICA). DICTAP 2012: 99-103 - 2010
- [c11]Sanjay Patil, Sanjay N. Talbar:
Content Based Image Retrieval Using Various Distance Metrics. ICDEM 2010: 154-161 - [c10]Satishkumar L. Varma, Sanjay N. Talbar:
ViSum: Video Summarization Using Dyanamic Threshold. ICETET 2010: 120-123 - [c9]Sanjay N. Talbar, Satishkumar L. Varma:
Wavelet and Hadamard Transforms for Image Retrieval Using Color Models. ICT 2010: 336-338 - [c8]Sanjay N. Talbar, Anil K. Deshmane:
Biomedical Image Coding Using Dual Tree Discrete Wavelet Transform and Iterative Projection. ICT 2010: 525-528 - [c7]P. M. Agarkar, Sanjay N. Talbar:
Algorithm for iris code organization and searching for iris recognition system. ICWET 2010: 544-547 - 2009
- [c6]Rajesh M. Bodade, Sanjay N. Talbar:
Shift Invariant Iris Feature Extraction Using Rotated Complex Wavelet and Complex Wavelet for Iris Recognition System. ICAPR 2009: 449-452 - [c5]Rajesh M. Bodade, Sanjay N. Talbar:
Iris Recognition Using Combination of Dual Tree Rotated Complex Wavelet and Dual Tree Complex Wavelet. ICC 2009: 1-5 - [c4]Sanjay N. Talbar, Satishkumar L. Varma:
iMATCH: Image Matching and Retrieval for Digital Image Libraries. ICETET 2009: 196-201 - [c3]Sanjay A. Pardeshi, Sanjay N. Talbar:
Face Description with Local Invariant Features: Application to Face Recognition. ICETET 2009: 248-251 - [c2]Rajesh M. Bodade, Sanjay N. Talbar:
Dynamic iris localisation: A novel approach suitable for fake iris detection. ICUMT 2009: 1-5 - [c1]Rajesh M. Bodade, Sanjay N. Talbar:
Segmentation for Iris Localisation: A Novel Approach Suitable for Fake Iris Detection. PReMI 2009: 476-482
Informal and Other Publications
- 2024
- [i6]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [i5]Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar:
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis. CoRR abs/2301.06226 (2023) - [i4]Shubham Innani, Prasad Dutande, Bhakti Baheti, Venu Pokuri, Ujjwal Baid, Sanjay N. Talbar, Sharath Chandra Guntuku:
Generative Adversarial Networks based Skin Lesion Segmentation. CoRR abs/2305.18164 (2023) - 2021
- [i3]Nisarg A. Shah, Divij Gupta, Romil Lodaya, Ujjwal Baid, Sanjay N. Talbar:
Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet. CoRR abs/2103.09289 (2021) - [i2]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [i1]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020)
Coauthor Index
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