Learning algorithms for adaptive processing and control. - Bernard Widrow; Michael A. Lehr; Françoise Beaufays; Eric A. Wan; Michel Bilello (ICNN, 1993)

A Textual Information Detection and Elimination System for Secure Medical Image Distribution. - James Ze Wang; Michel Bilello; Gio Wiederhold (AMIA, 1997)

Web Implementation of a Security Mediator for Medical Databases. - Gio Wiederhold; Michel Bilello; Chris Donahue (DBSec, 1997)

Protecting Inappropriate Release of Data from Realistic Databases. - Gio Wiederhold; Michel Bilello (DEXA Workshop, 1998)

Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain. - Michel Bilello; Zhiqiang Lao; Jaroslaw Krejza; Argye E. Hillis; Edward Herskovits (Neuroinformatics, 2006)

Detecting mutually-salient landmark pairs with MRF regularization. - Yangming Ou; Ahmed Besbes; Michel Bilello; Mohamed Mansour; Christos Davatzikos; Nikos Paragios (ISBI, 2010)

Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model. - Ali Gooya; Kilian M. Pohl; Michel Bilello; George Biros; Christos Davatzikos (MICCAI (2), 2011)

GLISTR: Glioma Image Segmentation and Registration. - Ali Gooya; Kilian M. Pohl; Michel Bilello; Luigi Cirillo; George Biros; Elias R. Melhem; Christos Davatzikos (IEEE Trans. Medical Imaging, 2012)

Direct visualization of short transverse relaxation time component (ViSTa). - Se-Hong Oh 001; Michel Bilello; Matthew Schindler; Clyde E. Markowitz; John A. Detre; Jongho Lee 003 (NeuroImage, 2013)

PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration. - Dongjin Kwon; Marc Niethammer; Hamed Akbari; Michel Bilello; Christos Davatzikos; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2014)

Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights. - Yangming Ou; Hamed Akbari; Michel Bilello; Xiao Da; Christos Davatzikos (IEEE Trans. Medical Imaging, 2014)

Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration. - Dongjin Kwon; Ke Zeng; Michel Bilello; Christos Davatzikos (MICCAI (2), 2015)

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. - Saima Rathore; Spyridon Bakas; Sarthak Pati; Hamed Akbari; Ratheesh Kalarot; Patmaa Sridharan; Martin Rozycki; Mark Bergman; Birkan Tunç; Ragini Verma; Michel Bilello; Christos Davatzikos (BrainLes@MICCAI, 2017)

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans. - Xu Han 009; Spyridon Bakas; Roland Kwitt; Stephen R. Aylward; Hamed Akbari; Michel Bilello; Christos Davatzikos; Marc Niethammer (BrainLes@MICCAI (1), 2018)

Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma. - Saima Rathore; Hamed Akbari; Jimit Doshi; Gaurav Shukla; Martin Rozycki; Michel Bilello; Robert Lustig; Christos Davatzikos (Image-Guided Procedures, 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)

Current Status of the Use of Machine Learning and Magnetic Resonance Imaging in the Field of Neuro-Radiomics. - Ashish Singh; Michel Bilello (RNO-AI@MICCAI, 2019)

A large annotated medical image dataset for the development and evaluation of segmentation algorithms. - Amber L. Simpson; Michela Antonelli; Spyridon Bakas; Michel Bilello; Keyvan Farahani; Bram van Ginneken; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; et al. (CoRR, 2019)

A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. - Xu Han 009; Zhengyang Shen; Zhenlin Xu; Spyridon Bakas; Hamed Akbari; Michel Bilello; Christos Davatzikos; Marc Niethammer (MLMI@MICCAI, 2020)

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. - Spyridon Bakas; Gaurav Shukla; Hamed Akbari; Güray Erus; Aristeidis Sotiras; Saima Rathore; Chiharu Sako; Sung Min Ha; Martin Rozycki; Ashish Singh; Russell T. Shinohara; Michel Bilello; et al. (Image-Guided Procedures, 2020)

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. - 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; et al. (NeuroImage, 2020)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; 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 Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. - Bhakti Baheti; Diana Waldmannstetter; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; et al. (CoRR, 2021)

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)

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)

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)

Brain Tumor Sequence Registration (BraTS-Reg) Challenge Dataset. - Bhakti Baheti; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; Brandon K. K. Fields; et al. (Zenodo, 2025)