SB
Spyridon Bakas
cs.CVeess.IVGlioblastomaBrain Neoplasmscs.LGGliomaglioblastomaArtificial IntelligenceDeep learningSegmentation
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 Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus Rempfler +422
1 version
W_z8wecm87·v1published
Preprints & journals
182 papers in the corpus · 2016–2026The Federated Tumor Segmentation and Classification (FeTS++) Challenge2610.18771v1 · Wenyi Tang, Carla Pitarch-Abaigar, Siddhesh Thakur et al.2026 · 0 citationsarXiv
AI in Neuro-Oncology: An Overarching Review.42867147 · Pitarch-Abaigar, Carla, Lohmann, Philipp, Aloy, Patrick et al.2026 · 0 citationsNeuro-oncology. 2026
MRI Radiomics for Survival Prediction in Brain Metastases: A Machine Learning Analysis.42716711 · Salim, Hamza Adel, Calabrese, Evan, Naeem, Ahmed et al.2026 · 0 citationsAJNR. American journal of neuroradiology. 2026
Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation2609.00866v1 · Yumi Lee, Harim Oh, Hyoryung Kim et al.2026 · 0 citationsarXiv
Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations2608.28820v1 · Shubham Innani, Suhang You, Adam Shephard et al.2026 · 0 citationsarXiv
Physics-Informed Multiscale Decoding of Tissue Microstructure: The Gray Level Affinity Metrics (GLAM) Framework.42477209 · Rashidi, Ahmad Pour, Perronne, Laetitia, Krumpelman, Chase et al.2026 · 0 citationsJournal of imaging informatics in medicine. 2026
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
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)
Brain tumor segmentation in Sub-Saharan Africa patient population: The BraTS-Africa challenge.42094719 · Adewole, Maruf, Rudie, Jeffrey D, Gbadamosi, Anu et al.2026 · 41 citationsNeuro-oncology advances. 2026;8(1):vdag082
Multi-Institutional Annotated Multiparametric MRI Dataset of Pediatric High-Grade Gliomas.42053414 · Kazerooni, Anahita Fathi, Jiang, Zhifan, Gandhi, Deep et al.2026 · 1 citationRadiology. Artificial intelligence. 2026;8(3):e250902
Governing real-world health data as a public utility.41785358 · Haendel, Melissa A, Ahern, Ryan, Bailey, Kasie B et al.2026 · 6 citationsScience (New York, N.Y.). 2026;391(6789):993-996
Performance of deep learning-based segmentation of soft tissue sarcoma by MRI sequence, tumor type and location.41776099 · Peng, Linkai, Perronne, Laetitia, Gennaro, Nicolò et al.2026 · 2 citationsSkeletal radiology. 2026;55(7):1539-1548
GlioMODA: Robust glioma segmentation in clinical routine.41841144 · Canisius, Julian, Buchner, Josef, Rosier, Marcel et al.2026 · 4 citationsNeuro-oncology advances. 2026;8(1):vdag034
Automatic longitudinal assessment of brain metastases improves detection of disease progression.41994001 · Weiss, David, Bousabarah, Khaled, Maleki, Nazanin et al.2026 · 0 citationsNeuro-oncology advances. 2026;8(1):vdag036
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.41593091 · LaBella, Dominic, Schumacher, Katherine, Mix, Michael et al.2026 · 2 citationsScientific data. 2026;13(1)
Federated Learning in Healthcare: From Research to Real-World Deployment.41563839 · Bakas, Spyridon, Li, Xiaoxiao, Shah, Prashant et al.2026 · 16 citationsAnnual review of biomedical engineering. 2026;28(1):163-186
AI-driven WHO 2021 classification of gliomas based only on H&E-stained slides.40888157 · Innani, Shubham, Bell, W Robert, Nasrallah, MacLean P et al.2026 · 4 citationsNeuro-oncology. 2026;28(1):282-296
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
Medical Imaging AI Competitions Lack Fairness2512.17581v2 · Annika Reinke, Evangelia Christodoulou, Sthuthi Sadananda et al.2025 · 1 citationarXiv
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning2512.06206v1 · Akis Linardos, Sarthak Pati, Ujjwal Baid et al.2025 · 5 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
Classifying Histopathologic Glioblastoma Sub-regions with EfficientNet2511.08896v1 · Sanyukta Adap, Ujjwal Baid, Spyridon Bakas2025 · 0 citationsarXiv
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art.41167227 · Kann, Benjamin H, Vossough, Arastoo, Brüningk, Sarah C et al.2026 · 9 citationsThe Lancet. Oncology. 2025;26(11):e597-e606
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.41167228 · Kazerooni, Anahita Fathi, Familiar, Ariana M, Aboian, Mariam et al.2026 · 11 citationsThe Lancet. Oncology. 2025;26(11):e607-e618
Editorial: Spatiotemporal & AI trends in neuroscience, neuroimaging, and neurooncology.41235315 · Crimi, Alessandro, Bakas, Spyridon2025 · 0 citationsFrontiers in neuroimaging. 2025;4:1716335
Artificial Intelligence-Based Classification of Renal Oncocytic Neoplasms: Advancing From a 2-Class Model of Renal Oncocytoma and Low-Grade Oncocytic Tumor to a 3-Class Model Including Chromophobe Renal Cell Carcinoma.39957180 · Collins, Katrina, Innani, Shubham, Ebare, Kingsley et al.2025 · 2 citationsArchives of pathology & laboratory medicine. 2025;149(10):922-929
Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform2509.17281v1 · Raisa Amiruddin, Nikolay Y. Yordanov, Nazanin Maleki et al.2025 · 0 citationsarXiv
PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings2509.14051v2 · Suhang You, Carla Pitarch-Abaigar, Sanket Kachole et al.2025 · 0 citationsarXiv
Informatics at the Frontier of Cancer Research.40600473 · Noller, Kathleen, Botsis, Taxiarchis, Camara, Pablo G et al.2025 · 0 citationsCancer research. 2025;85(16):2967-2986
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
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis2507.09036v1 · Florian Kofler, Marcel Rosier, Mehdi Astaraki et al.2025 · 0 citationsarXiv
Interpretable artificial intelligence based determination of glioma IDH mutation status directly from histology slides.40718645 · Innani, Shubham, Bell, W Robert, Harmsen, Hannah et al.2026 · 4 citationsNeuro-oncology advances. 2025;7(1):vdaf140
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 · 69 citationsNature communications. 2025;16(1):6274
The BraTS-Africa Dataset: Expanding the Brain Tumor Segmentation Data to Capture African Populations.40237600 · Adewole, Maruf, Rudie, Jeffrey D, Gbadamosi, Anu et al.2026 · 20 citationsRadiology. Artificial intelligence. 2025;7(4):e240528
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
An 11,000-Study Open-Access Dataset of Longitudinal Magnetic Resonance Images of Brain Metastases2506.14021v1 · Saahil Chadha, David Weiss, Anastasia Janas et al.2025 · 0 citationsarXiv
BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis2506.13807v1 · Florian Kofler, Marcel Rosier, Mehdi Astaraki et al.2025 · 1 citationarXiv
Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With Glioblastoma.40419087 · Baheti, Bhakti, Rai, Sunny, Innani, Shubham et al.2025 · 11 citationsModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc. 2025;38(9):100797
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
Skull stripping with purely synthetic data2505.07159v1 · Jong Sung Park, Juhyung Ha, Siddhesh Thakur et al.2025 · 0 citationsarXiv
Response Assessment in Neuro-Oncology (RANO) 2009-2025: Broad scope and implementation-A progress report.40317212 · van den Bent, Martin J, Vogelbaum, Michael A, Cloughesy, Tim et al.2025 · 10 citationsNeuro-oncology. 2025;27(9):2209-2224
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI2504.12527v3 · Nazanin Maleki, Raisa Amiruddin, Ahmed W. Moawad et al.2025 · 1 citationarXiv
The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers.40025245 · Fathi Kazerooni, Anahita, Akbari, Hamed, Hu, Xiaoju et al.2025 · 25 citationsCommunications medicine. 2025;5(1):55
Paradoxical Response to Neoadjuvant Therapy in Undifferentiated Pleomorphic Sarcoma: Increased Tumor Size on MRI Associated with Favorable Pathology.40075678 · Goreish, Mariam H, Gennaro, Nicolò, Perronne, Laetitia et al.2026 · 5 citationsCancers. 2025;17(5)
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.37396600 · Moawad, Ahmed W, Janas, Anastasia, Baid, Ujjwal et al.2025 · 4 citationsArXiv. 2024
Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning.39652797 · Ahluwalia, Vinayak S, Doiphode, Nehal, Mankowski, Walter C et al.2024 · 5 citationsJCO clinical cancer informatics. 2024;8:e2400103
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
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.39481414 · Villanueva-Meyer, Javier E, Bakas, Spyridon, Tiwari, Pallavi et al.2024 · 27 citationsThe Lancet. Oncology. 2024;25(11):e581-e588
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice.39481415 · Bakas, Spyridon, Vollmuth, Philipp, Galldiks, Norbert et al.2024 · 35 citationsThe Lancet. Oncology. 2024;25(11):e589-e601
A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges.39363742 · Gomez, Felicia, Danos, Arpad M, Del Fiol, Guilherme et al.2024 · 4 citationsCancer discovery. 2024;14(10):1774-1778
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