Brain Tumor Segmentation Based on Non Negative Matrix Factorization and Fuzzy Clustering. - Ujjwal Baid; Shubham Talbar; Sanjay N. Talbar (BIOIMAGING, 2017)

Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas. - Ujjwal Baid; Sanjay N. Talbar; Swapnil Rane; Sudeep Gupta; Meenakshi H. Thakur; Aliasgar Moiyadi; Siddhesh Thakur; Abhishek Mahajan (BrainLes@MICCAI (2), 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Brain Tumor Segmentation with Cascaded Deep Convolutional Neural Network. - Ujjwal Baid; Nisarg A. Shah; Sanjay N. Talbar (BrainLes@MICCAI (2), 2019)

Detection of Pathological Myopia and Optic Disc Segmentation with Deep Convolutional Neural Networks. - Ujjwal Baid; Bhakti Baheti; Prasad Dutande; Sanjay N. Talbar (TENCON, 2019)

Colorectal Cancer Segmentation Using Atrous Convolution and Residual Enhanced UNet. - Nisarg A. Shah; Divij Gupta; Romil Lodaya; Ujjwal Baid; Sanjay N. Talbar (CVIP (1), 2020)

The 1st Agriculture-Vision Challenge: Methods and Results. - Mang Tik Chiu; Xingqian Xu; Kai Wang 058; Jennifer A. Hobbs; Naira Hovakimyan; Thomas S. Huang; Honghui Shi; Yunchao Wei; Zilong Huang; Alexander G. Schwing; Robert Brunner; Ivan Dozier; et al. (CVPR Workshops, 2020)

Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning. - Ujjwal Baid; Swapnil Rane; Sanjay N. Talbar; Sudeep Gupta; Meenakshi H. Thakur; Aliasgar Moiyadi; Abhishek Mahajan (Frontiers Comput. Neurosci., 2020)

A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. - Ujjwal Baid; Sanjay N. Talbar; Swapnil Rane; Sudeep Gupta; Meenakshi H. Thakur; Aliasgar Moiyadi; Nilesh Sable; Mayuresh Akolkar; Abhishek Mahajan (Frontiers Comput. Neurosci., 2020)

Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images. - Shubham Innani; Prasad Dutande; Bhakti Baheti; Sanjay N. Talbar; Ujjwal Baid (CVPR Workshops, 2021)

Detecting Covid-19 and Community Acquired Pneumonia Using Chest CT Scan Images With Deep Learning. - Shubham Chaudhary 005; Sadbhawna; Vinit Jakhetiya; Badri N. Subudhi; Ujjwal Baid; Sharath Chandra Guntuku (ICASSP, 2021)

LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation. - Prasad Dutande; Ujjwal Baid; Sanjay N. Talbar (Biomed. Signal Process. Control., 2021)

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging. - Sarthak Pati; Siddhesh P. Thakur; Megh Bhalerao; Ujjwal Baid; Caleb M. Grenko; Brandon Edwards; Micah J. Sheller; Jose Agraz; Bhakti Baheti; Vishnu Bashyam; Parth Sharma; Babak Haghighi; et al. (CoRR, 2021)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset. - Evan Calabrese; Javier E. Villanueva-Meyer; Jeffrey D. Rudie; Andreas M. Rauschecker; Ujjwal Baid; Spyridon Bakas; John Mongan; Christopher Hess; Soonmee Cha (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - 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; et al. (CoRR, 2021)

Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image. - Gajendra Kumar Mourya; Manashjit Gogoi; Sanjay N. Talbar; Prasad Dutande; Ujjwal Baid (Int. J. E Health Medical Commun., 2021)

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. - Ruchika Verma; Neeraj Kumar 002; 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; et al. (IEEE Trans. Medical Imaging, 2021)

Deep Learning Based Novel Cascaded Approach for Skin Lesion Analysis. - Shubham Innani; Prasad Dutande; Bhakti Baheti; Ujjwal Baid; Sanjay N. Talbar (CVIP (1), 2022)

Deep Residual Separable Convolutional Neural Network for lung tumor segmentation. - Prasad Dutande; Ujjwal Baid; Sanjay N. Talbar (Comput. Biol. Medicine, 2022)

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (CoRR, 2022)

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Jaemin Son; Shuang Yu; Menglu Zhang; Chenglang Yuan; Cheng Bian; Baiying Lei; Benjian Zhao; et al. (CoRR, 2022)

Federated Learning for the Classification of Tumor Infiltrating Lymphocytes. - Ujjwal Baid; Sarthak Pati; Tahsin M. Kurç; Rajarsi Gupta 001; Erich Bremer; Shahira Abousamra; Siddhesh P. Thakur; Joel H. Saltz; Spyridon Bakas (CoRR, 2022)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation. - Sahaj K. Mistry; Aayush Gupta; Sourav Saini; Aashray Gupta; Sunny Rai; Vinit Jakhetiya; Ujjwal Baid; Sharath Chandra Guntuku (BraTS/CrossMoDA@MICCAI, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

Generative Adversarial Networks based Skin Lesion Segmentation. - Shubham Innani; Prasad Dutande; Bhakti Baheti; Venu Pokuri; Ujjwal Baid; Sanjay N. Talbar; Sharath Chandra Guntuku (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (CoRR, 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning. - Ujjwal Baid; Sarthak Pati; Tahsin M. Kurç; Rajarsi Gupta 001; Erich Bremer; Shahira Abousamra; Siddhesh P. Thakur; Joel H. Saltz; Spyridon Bakas (IEEE Big Data, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. - Spyridon Bakas; Siddhesh P. Thakur; Shahriar Faghani; Mana Moassefi; Ujjwal Baid; Verena Chung; Sarthak Pati; Shubham Innani; Bhakti Baheti; Jake Albrecht; Alexandros Karargyris; Hasan Kassem; et al. (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - 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; et al. (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - 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; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level. - Ruining Deng; Tianyuan Yao; Yucheng Tang; Junlin Guo; Siqi Lu; Juming Xiong; Lining Yu; Quan Huu Cap; Pengzhou Cai; Libin Lan; Ze Zhao; Adrian Galdran; et al. (CoRR, 2025)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Hendrik Kristian Möller; Isra Mekki; Josef A. Buchner; Anton Schmick; Arianna Pfiffer; Eva Oswald; Lucas Zimmer; Ezequiel de la Rosa; Sarthak Pati; et al. (CoRR, 2025)