ST
Siddhesh Thakur
cs.CVGlioblastomaDeep learningBrain tumorcs.LGGliomasegmentationAIArtificial IntelligenceBrain extraction
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
Preprints & journals
23 papers in the corpus · 2018–2026The Federated Tumor Segmentation and Classification (FeTS++) Challenge2610.18771v1 · Wenyi Tang, Carla Pitarch-Abaigar, Siddhesh Thakur et al.2026 · 0 citationsarXiv
Evaluating the utility of AI-generated mammography images in breast cancer analysis.42380176 · Linardos, Akis, Thakur, Siddhesh, Gastounioti, Aimilia et al.2026 · 0 citationsScientific reports. 2026
Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis2606.06867v1 · Sanket Kachole, Siddhesh Thakur, Shubham Innani et al.2026 · 0 citationsarXiv
My Model Is Better Than Yours! Statistically-aware Ranking for Fair Benchmarking of AI Models.42670572 · Bakas, Spyridon, Thakur, Siddhesh, Baid, Ujjwal et al.2026 · 0 citationsSegmentation, classification, and synthesis for brain tumors and traumatic brain injuries : MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025,.... 2026;16376:3-13
Optimization of deep learning models for inference in low resource environments.40716232 · Thakur, Siddhesh, Pati, Sarthak, Wu, Junwen et al.2025 · 3 citationsComputers in biology and medicine. 2025;196(Pt B):110615
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
An Unsupervised Brain Extraction Quality Control Approach for Efficient Neuro-Oncology Studies.40563038 · Pati, Sarthak, Wagner, Stefan, Thakur, Siddhesh et al.2026 · 0 citationsJournal of imaging informatics in medicine. 2026;39(2):1608-1618
Skull stripping with purely synthetic data2505.07159v1 · Jong Sung Park, Juhyung Ha, Siddhesh Thakur et al.2025 · 0 citationsarXiv
Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow2409.02284v1 · Suhang You, Sanyukta Adap, Siddhesh Thakur et al.2024 · 0 citationsarXiv
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions2405.10871v1 · Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani et al.2024 · 1 citationarXiv
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)
Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1.35871247 · Chitalia, Rhea, Pati, Sarthak, Bhalerao, Megh et al.2022 · 18 citationsScientific data. 2022;9(1):440
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes2203.16622v2 · Ujjwal Baid, Sarthak Pati, Tahsin M. Kurc et al.2022 · 12 citationsarXiv
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
Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments.36331281 · Thakur, Siddhesh P, Pati, Sarthak, Panchumarthy, Ravi et al.2023 · 9 citationsBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop). 2022;12962:151-167
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging2103.01006v4 · Sarthak Pati, Siddhesh P. Thakur, İbrahim Ethem Hamamcı et al.2021 · 46 citationsCommun Eng 2, 23 (2023)
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.34514469 · Pati, Sarthak, Sharma, Vaibhav, Aslam, Heena et al.2021 · 7 citationsBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop). 2021;12658:157-167
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
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
Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation.32116512 · Reina, G Anthony, Panchumarthy, Ravi, Thakur, Siddhesh Pravin et al.2024 · 51 citationsFrontiers in neuroscience. 2020;14:65
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.32754723 · Pati, Sarthak, Singh, Ashish, Rathore, Saima et al.2024 · 94 citationsBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop). 2020;11993:380-394
Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.32577629 · Thakur, Siddhesh P, Doshi, Jimit, Pati, Sarthak et al.2024 · 28 citationsBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop). 2019;11992:57-68
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
Career total: 43 works. 23 are in this corpus.
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