MB
Michel Bilello
cs.CVAlgorithmseess.IVglioblastomaGlioblastomamachine learningMultiple Sclerosismultiple sclerosisradiomicsBrain Neoplasms
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
W_z8wecm87·v1published
Preprints & journals
85 papers in the corpus · 1996–2026Fast Submillimeter Whole-Brain T2*-Weighted Imaging Using 3D-EPI With CAIPIRINHA and Deep-Learning Denoising at 3T.42487251 · Nair, Sreekanth Madhusoodhanan, Quah, Bryan, Song, Jae W et al.2026 · 0 citationsMagnetic resonance in medicine. 2026;96(5):2072-2082
Application of the 2024 McDonald Criteria in Individuals With Nonspecific Symptoms or Incidental Imaging Findings in a Multicenter Study.42284534 · Scharf, Alexandra, Cohen, Jeffrey A, Marrie, Ruth Ann et al.2026 · 2 citationsNeurology. 2026;107(1):e218183
Personalized machine learning-guided radiation dose escalation in newly diagnosed glioblastoma: prospective pilot study.42129213 · Akbari, Hamed, Mohan, Suyash, Liu, Fang et al.2026 · 3 citationsNature communications. 2026;17(1)
Automated segmentation of multiple sclerosis lesions, paramagnetic rims, and central vein sign on MRI provides reliable diagnostic biomarkers.41089191 · Hu, Fengling, Ren, Zheng, Chen, Luyun et al.2025 · 4 citationsImaging neuroscience (Cambridge, Mass.). 2025;3
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.40628696 · Zenk, Maximilian, Baid, Ujjwal, Pati, Sarthak et al.2025 · 16 citationsNature communications. 2025;16(1):6274
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study.39665363 · Akbari, Hamed, Bakas, Spyridon, Sako, Chiharu et al.2025 · 15 citationsNeuro-oncology. 2025;27(4):1102-1115
Multicenter Automated Central Vein Sign Detection Performs as Well as Manual Assessment for the Diagnosis of Multiple Sclerosis.39332906 · Manning, A R, Letchuman, V, Martin, M L et al.2025 · 9 citationsAJNR. American journal of neuroradiology. 2025;46(3):620-626
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).37608932 · Li, Hongwei Bran, Conte, Gian Marco, Hu, Qingqiao et al.2026 · 21 citationsArXiv. 2024
Multicenter validation of automated detection of paramagnetic rim lesions on brain MRI in multiple sclerosis.39410780 · Chen, Luyun, Ren, Zheng, Clark, Kelly A et al.2024 · 8 citationsJournal of neuroimaging : official journal of the American Society of Neuroimaging. 2024;34(6):750-757
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge2405.09787v2 · Dominic LaBella, Ujjwal Baid, Omaditya Khanna et al.2024 · 11 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting2305.08992v3 · Florian Kofler, Felix Meissen, Felix Steinbauer et al.2023 · 5 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)2305.09011v6 · Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu et al.2023 · 21 citationsarXiv
Author Correction: Federated learning enables big data for rare cancer boundary detection.36702828 · Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon et al.2025 · 5 citationsNature communications. 2023;14(1):436
Federated learning enables big data for rare cancer boundary detection.36470898 · Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon et al.2022 · 390 citationsNature communications. 2022;13(1):7346
The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research.36137534 · Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon et al.2022 · 51 citationsPhysics in medicine and biology. 2022;67(20)
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics.35906241 · Bakas, Spyridon, Sako, Chiharu, Akbari, Hamed et al.2022 · 197 citationsScientific data. 2022;9(1):453
The Medical Segmentation Decathlon.35840566 · Antonelli, Michela, Reinke, Annika, Bakas, Spyridon et al.2022 · 1,372 citationsNature communications. 2022;13(1):4128
Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions.35372431 · Thakur, Siddhesh P, Schindler, Matthew K, Bilello, Michel et al.2026 · 11 citationsFrontiers in medicine. 2022;9:797586
Economic impact of selective use of contrast for routine follow-up MRI of patients with multiple sclerosis.35294074 · Mattay, Raghav R, Davtyan, Karapet, Rudie, Jeffrey D et al.2022 · 8 citationsJournal of neuroimaging : official journal of the American Society of Neuroimaging. 2022;32(4):656-666
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients2112.06979v2 · Bhakti Baheti, Satrajit Chakrabarty, Hamed Akbari et al.2021 · 26 citationsarXiv
Patent Foramen Ovale Closure Decreases the Incidence but Not the Size of New Brain Infarction on Magnetic Resonance Imaging: An Analysis of the REDUCE Trial.34455822 · Messé, Steven R, Erus, Guray, Bilello, Michel et al.2022 · 10 citationsStroke. 2021;52(11):3419-3426
Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs.34621541 · Bounias, Dimitrios, Singh, Ashish, Bakas, Spyridon et al.2022 · 6 citationsApplied sciences (Basel, Switzerland). 2021;11(16)
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification2107.02314v2 · Ujjwal Baid, Satyam Ghodasara, Suyash Mohan et al.2021 · 89 citationsarXiv
Combining MRI and Histologic Imaging Features for Predicting Overall Survival in Patients with Glioma.34296969 · Rathore, Saima, Chaddad, Ahmad, Iftikhar, Muhammad A et al.2021 · 33 citationsRadiology. Imaging cancer. 2021;3(4):e200108
Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk).33521638 · Rathore, Saima, Mohan, Suyash, Bakas, Spyridon et al.2022 · 24 citationsNeuro-oncology advances. 2020;2(Suppl 4):iv22-iv34
Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.33118182 · Pati, Sarthak, Verma, Ruchika, Akbari, Hamed et al.2021 · 45 citationsMedical physics. 2020;47(12):6039-6052
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies.34382033 · Han, Xu, Shen, Zhengyang, Xu, Zhenlin et al.2023 · 19 citationsMachine learning in medical imaging. MLMI (Workshop). 2020;12436:342-352
Neuro-Thoracic Radiologists "Corner": Incidental Pulmonary Findings on a Neck MRI Leading to the Diagnosis of COVID-19.32723748 · Smith, P, Bilello, M, Mohan, S2020 · 2 citationsAJNR. American journal of neuroradiology. 2020;41(9):E78-E79
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.32603860 · Thakur, Siddhesh, Doshi, Jimit, Pati, Sarthak et al.2021 · 83 citationsNeuroImage. 2020;220:117081
AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium.32152622 · Davatzikos, Christos, Barnholtz-Sloan, Jill S, Bakas, Spyridon et al.2021 · 57 citationsNeuro-oncology. 2020;22(6):886-888
Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities.32566694 · Bakas, Spyridon, Shukla, Gaurav, Akbari, Hamed et al.2021 · 52 citationsJournal of medical imaging (Bellingham, Wash.). 2020;7(3):031505
Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma.32129893 · Akbari, Hamed, Rathore, Saima, Bakas, Spyridon et al.2021 · 97 citationsCancer. 2020;126(11):2625-2636
Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma.32191542 · Fathi Kazerooni, Anahita, Akbari, Hamed, Shukla, Gaurav et al.2020 · 39 citationsJCO clinical cancer informatics. 2020;4:234-244
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.33746333 · Bakas, Spyridon, Shukla, Gaurav, Akbari, Hamed et al.2024 · 6 citationsProceedings of SPIE--the International Society for Optical Engineering. 2020;11315
Association between urinary symptom severity and white matter plaque distribution in women with multiple sclerosis.31691357 · Smith, Ariana L, Weissbart, Steven J, Hartigan, Siobhán M et al.2020 · 11 citationsNeurourology and urodynamics. 2020;39(1):339-346
Segmentation and Grade Prediction of Colon Cancer Digital Pathology Images Across Multiple Institutions.31683818 · Rathore, Saima, Iftikhar, Muhammad Aksam, Chaddad, Ahmad et al.2020 · 37 citationsCancers. 2019;11(11)
An Initiative to Reduce Unnecessary Gadolinium-Based Contrast in Multiple Sclerosis Patients.31092348 · Rudie, Jeffrey D, Mattay, Raghav R, Schindler, Matthew et al.2020 · 22 citationsJournal of the American College of Radiology : JACR. 2019;16(9 Pt A):1158-1164
A large annotated medical image dataset for the development and evaluation of segmentation algorithms1902.09063v1 · Amber L. Simpson, Michela Antonelli, Spyridon Bakas et al.2019 · 684 citationsarXivon Valency
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans.31259320 · Han, Xu, Bakas, Spyridon, Kwitt, Roland et al.2024 · 10 citationsBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop). 2019;11383:105-114
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
Do All Patients with Multiple Sclerosis Benefit from the Use of Contrast on Serial Follow-Up MR Imaging? A Retrospective Analysis.30287455 · Mattay, R R, Davtyan, K, Bilello, M et al.2019 · 22 citationsAJNR. American journal of neuroradiology. 2018;39(11):2001-2006
Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.29990498 · Binder, Zev A, Thorne, Amy Haseley, Bakas, Spyridon et al.2019 · 169 citationsCancer cell. 2018;34(1):163-177.e7
Proposed Standardized Neurological Endpoints for Cardiovascular Clinical Trials: An Academic Research Consortium Initiative.28171522 · Lansky, Alexandra J, Messé, Steven R, Brickman, Adam M et al.2019 · 78 citationsEuropean heart journal. 2018;39(19):1687-1697
Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1.29572492 · Rathore, Saima, Akbari, Hamed, Rozycki, Martin et al.2019 · 154 citationsScientific reports. 2018;8(1):5087
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning.29531967 · Rathore, Saima, Akbari, Hamed, Doshi, Jimit et al.2020 · 141 citationsJournal of medical imaging (Bellingham, Wash.). 2018;5(2):021219
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome.29340286 · Davatzikos, Christos, Rathore, Saima, Bakas, Spyridon et al.2024 · 202 citationsJournal of medical imaging (Bellingham, Wash.). 2018;5(1):011018
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma.29733087 · Rathore, Saima, Bakas, Spyridon, Pati, Sarthak et al.2020 · 57 citationsBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop). 2018;10670:133-145
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.28872634 · Bakas, Spyridon, Akbari, Hamed, Sotiras, Aristeidis et al.2018 · 3,036 citationsScientific data. 2017;4:170117
What Makes New Ischemic Lesions Symptomatic after Aortic Valve Replacement?28844834 · Leker, Ronen R, Messé, Steven R, Erus, Guray et al.2018 · 3 citationsJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 2017;26(12):2943-2948
Effect of Cerebral Embolic Protection Devices on CNS Infarction in Surgical Aortic Valve Replacement: A Randomized Clinical Trial.28787505 · Mack, Michael J, Acker, Michael A, Gelijns, Annetine C et al.2017 · 75 citationsJAMA. 2017;318(6):536-547
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