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cs.CVeess.IVcs.LGcs.AImachine learningBrain NeoplasmssegmentationArtificial IntelligenceBraTSGlioblastoma

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W_ctyr365s·v1 · currentpublished

Preprints & journals

65 papers in the corpus · 2018–2026
KPIs 2024 challenge: Advancing glomerular segmentation from patch- to slide-level.42612515 · Deng, Ruining, Yao, Tianyuan, Tang, Yucheng et al.2026 · 1 citationMedical image analysis. 2026;114:104234
Racial and ethnic disparities in clinical outcomes of HER2-positive metastatic breast cancer treated with antibody-drug conjugates.42411768 · Shah, Zunairah, Lei, Lan, Thakur, Rahul et al.2026 · 1 citationJournal of the National Cancer Institute. 2026
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
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge2604.11679v2 · Asbj\orn Munk, Stefano Cerri, Vardan Nersesjan et al.2026 · 0 citationsarXiv
BIO26-046: Validating an LLM for Detecting Enrollment Disparities in Breast Cancer Trials.42061437 · Shah, Zunairah, Aziz, Sumbal, Haji, Mariam et al.2026 · 0 citationsJournal of the National Comprehensive Cancer Network : JNCCN. 2026;24(3.5)
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)
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
AI for Mycetoma Diagnosis in Histopathological Images: The MICCAI 2024 Challenge2512.21792v2 · Hyam Omar Ali, Sahar Alhesseen, Lamis Elkhair et al.2025 · 0 citationsarXiv
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
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
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
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
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
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
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
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 20232407.08855v3 · Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu et al.2024 · 20 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI2405.18368v1 · Maria Correia de Verdier, Rachit Saluja, Louis Gagnon et al.2024 · 18 citationsarXiv
Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge2405.18383v3 · Dominic LaBella, Valeriia Abramova, Mehdi Astaraki et al.2024 · 8 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).37292481 · Kazerooni, Anahita Fathi, Khalili, Nastaran, Liu, Xinyang et al.2026 · 61 citationsArXiv. 2024
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions2405.10871v1 · Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani et al.2024 · 1 citationarXiv
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)
A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.38750041 · LaBella, Dominic, Khanna, Omaditya, McBurney-Lin, Shan et al.2024 · 25 citationsScientific data. 2024;11(1):496
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge2405.18435v2 · Hongwei Bran Li, Fernando Navarro, Ivan Ezhov et al.2024 · 6 citationsarXiv
A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information.38424079 · Ramakrishnan, Divya, Jekel, Leon, Chadha, Saahil et al.2024 · 25 citationsScientific data. 2024;11(1):254
Correction: Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.39280247 · Mahajan, Abhishek, B, Gurukrishna, Wadhwa, Shweta et al.2024 · 2 citationsExploration of targeted anti-tumor therapy. 2024;5(4):800
A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information.37744461 · Ramakrishnan, Divya, Jekel, Leon, Chadha, Saahil et al.2026 · 2 citationsArXiv. 2023
Generative adversarial networks based skin lesion segmentation.37596306 · Innani, Shubham, Dutande, Prasad, Baid, Ujjwal et al.2023 · 40 citationsScientific reports. 2023;13(1):13467
Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)2308.01318v2 · Diana Waldmannstetter, Ivan Ezhov, Benedikt Wiestler et al.2023 · 0 citationsarXiv
Federated benchmarking of medical artificial intelligence with MedPerf.38706981 · Karargyris, Alexandros, Umeton, Renato, Sheller, Micah J et al.2024 · 187 citationsNature machine intelligence. 2023;5(7):799-810
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI2306.00838v3 · Ahmed W. Moawad, Anastasia Janas, Ujjwal Baid et al.2023 · 40 citationsarXiv
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
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.37608937 · LaBella, Dominic, Adewole, Maruf, Alonso-Basanta, Michelle et al.2023 · 27 citationsArXiv. 2023
Why is the winner the best?2303.17719v1 · Matthias Eisenmann, Annika Reinke, Vivienn Weru et al.2023 · 8 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
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis2301.06226v1 · Shubham Innani, Prasad Dutande, Bhakti Baheti et al.2023 · 15 citationsarXiv
Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.37745691 · Mahajan, Abhishek, B, Gurukrishna, Wadhwa, Shweta et al.2024 · 14 citationsExploration of targeted anti-tumor therapy. 2023;4(4):657-668
Biomedical image analysis competitions: The state of current participation practice2212.08568v2 · Matthias Eisenmann, Annika Reinke, Vivienn Weru et al.2022 · 18 citationsarXiv
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 California San Francisco Preoperative Diffuse Glioma MRI Dataset.36523646 · Calabrese, Evan, Villanueva-Meyer, Javier E, Rudie, Jeffrey D et al.2023 · 185 citationsRadiology. Artificial intelligence. 2022;4(6):e220058
Career total: 166 works. 65 are in this corpus.Showing the 50 most recent.

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