KC
Ken Chang
cs.CVcs.LGDeep Learningeess.IVDeep learningdeep learningAlgorithmsMachine learningMachine LearningMRI
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
99 papers in the corpus · 2015–2026TRAM-AI: A Framework for Transparency in Reporting of Medical Imaging Datasets for Artificial Intelligence Development.42905015 · Bose, Kartik, Gupta, Pankaj, Adams, Lisa et al.2026 · 0 citationsRadiology. Artificial intelligence. 2026:e260538
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): Explanation, Elaboration, and Examples.42813998 · Akinci D'Antonoli, Tugba, Adams, Lisa C, Amyar, Amine et al.2026 · 0 citationsRadiology. Artificial intelligence. 2026:e260835
NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding2605.20525v1 · Mohammad H. Abbasi, Favour Nerrise, Shaurnav Ghosh et al.2026 · 0 citationsarXiv
General Purpose Artificial Intelligence for Abdominal CT Using a 3D Vision-Language Foundation Model.42126564 · Chang, Ken, Li, Matthew D2026 · 0 citationsAJR. American journal of roentgenology. 2026
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation2604.00493v1 · Yabin Zhang, Chong Wang, Yunhe Gao et al.2026 · 0 citationsarXiv
GazeXPErT: An Expert Eye-tracking Dataset for Interpretable and Explainable AI in Oncologic FDG-PET/CT Scans2603.00162v2 · Joy T Wu, Daniel Beckmann, Sarah Miller et al.2026 · 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 · 16 citationsNature communications. 2025;16(1):6274
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning2506.21355v3 · Melanie Rieff, Maya Varma, Ossian Rabow et al.2025 · 0 citationsarXiv
Multi-Institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB.39551328 · Brink, Laura, Romero, Ricardo Amaya, Coombs, Laura et al.2025 · 3 citationsJournal of the American College of Radiology : JACR. 2025;22(2):211-219
Privacy preservation for federated learning in health care.39081567 · Pati, Sarthak, Kumar, Sourav, Varma, Amokh et al.2026 · 235 citationsPatterns (New York, N.Y.). 2024;5(7):100974
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
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.38776844 · Schmidt, Kendall, Bearce, Benjamin, Chang, Ken et al.2024 · 9 citationsMedical image analysis. 2024;95:103206
Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistance.38070147 · Kim, Albert E, Lou, Kevin W, Giobbie-Hurder, Anita et al.2024 · 8 citationsNeuro-oncology. 2024;26(5):965-974
IMIL: Interactive Medical Image Learning Framework2404.10965v1 · Adrit Rao, Andrea Fisher, Ken Chang et al.2024 · 4 citationsarXiv
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation.38197800 · Hoebel, Katharina V, Bridge, Christopher P, Ahmed, Sara et al.2024 · 13 citationsRadiology. Artificial intelligence. 2024;6(1):e220231
Removing Radiographic Markers Using Deep Learning to Enable Image Sharing.38074775 · Chang, Ken, Li, Matthew D2024 · 1 citationRadiology. Artificial intelligence. 2023;5(6):e230369
Stroke-Related Visceral Alterations: A Voxel-Based Neuroanatomic Localization Study.37642641 · Arsava, Ethem Murat, Chang, Ken, Tawakol, Ahmed et al.2023 · 3 citationsAnnals of neurology. 2023;94(6):1155-1163
Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacy.37693537 · Kim, Albert E, Lou, Kevin W, Giobbie-Hurder, Anita et al.2023 · 0 citationsbioRxiv : the preprint server for biology. 2023
Bavituximab Decreases Immunosuppressive Myeloid-Derived Suppressor Cells in Newly Diagnosed Glioblastoma Patients.37327319 · Ly, K Ina, Richardson, Leland G, Liu, Mofei et al.2026 · 22 citationsClinical cancer research : an official journal of the American Association for Cancer Research. 2023;29(16):3017-3025
FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction.37028063 · Deng, Bin, Gu, Hanxue, Zhu, Hongmin et al.2023 · 31 citationsIEEE transactions on medical imaging. 2023;42(8):2439-2450
Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data.36862082 · Gupta, Sharut, Kumar, Sourav, Chang, Ken et al.2023 · 44 citationsRadiographics : a review publication of the Radiological Society of North America, Inc. 2023;43(4):e220107
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 for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR Imaging.36692205 · Li, Junjie, Zhang, Peng, Qu, Liying et al.2023 · 18 citationsJournal of magnetic resonance imaging : JMRI. 2023;58(3):850-861
Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models.36537895 · Gidwani, Mishka, Chang, Ken, Patel, Jay Biren et al.2023 · 33 citationsRadiology. 2023;307(1):e220715
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
ACR's Connect and AI-LAB technical framework.36380846 · Brink, Laura, Coombs, Laura P, Kattil Veettil, Deepak et al.2022 · 15 citationsJAMIA open. 2022;5(4):ooac094
End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study.36115105 · Meng, Shujuan, Tran, Thi My Linh, Hu, Mingzhe et al.2022 · 10 citationsJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 2022;31(11):106753
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling.36745141 · Kumar, Sourav, Lakshminarayanan, A, Chang, Ken et al.2023 · 9 citationsDistributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health : Third MICCAI Workshop, DeCaF 2022 and Second MICCAI Workshop, FAIR 2022, held in conjunction with MICCAI 2022, Sin.... 2022;13573:119-129
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.36998700 · Mehta, Raghav, Filos, Angelos, Baid, Ujjwal et al.2024 · 61 citationsThe journal of machine learning for biomedical imaging. 2022;2022
Three Applications of Conformal Prediction for Rating Breast Density in Mammography2206.12008v1 · Charles Lu, Ken Chang, Praveer Singh et al.2022 · 5 citationsarXiv
Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma.35483906 · George, E, Flagg, E, Chang, K et al.2022 · 36 citationsAJNR. American journal of neuroradiology. 2022;43(5):675-681
How Machine Learning is Powering Neuroimaging to Improve Brain Health.35347570 · Singh, Nalini M, Harrod, Jordan B, Subramanian, Sandya et al.2022 · 53 citationsNeuroinformatics. 2022;20(4):943-964
Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease Epidemiology.35304305 · Hanif, Adam, Lu, Charles, Chang, Ken et al.2022 · 36 citationsOphthalmology. Retina. 2022;6(8):650-656
Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of Prematurity.35296449 · Lu, Charles, Hanif, Adam, Singh, Praveer et al.2022 · 43 citationsOphthalmology. Retina. 2022;6(8):657-663
Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis.36249693 · Coyner, Aaron S, Chen, Jimmy S, Chang, Ken et al.2024 · 55 citationsOphthalmology science. 2022;2(2):100126
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating2202.04823v1 · Ikbeom Jang, Garrison Danley, Ken Chang et al.2022 · 4 citationsarXiv
Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.34551090 · Peng, Jian, Kim, Daniel D, Patel, Jay B et al.2022 · 11 citationsNeuro-oncology. 2021;23(12):2124
Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging.33900434 · Wang, Robin, Cai, Yeyu, Lee, Iris K et al.2021 · 2 citationsEuropean radiology. 2021;31(11):8816
Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence Performance.34689879 · Kalpathy-Cramer, Jayashree, Patel, Jay B, Bridge, Christopher et al.2021 · 14 citationsRadiologic clinics of North America. 2021;59(6):941-954
Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the AJR Special Series on AI Applications.34612681 · Li, Matthew D, Chang, Ken, Mei, Xueyan et al.2022 · 10 citationsAJR. American journal of roentgenology. 2022;219(1):15-23
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.34870212 · Arun, Nishanth, Gaw, Nathan, Singh, Praveer et al.2024 · 338 citationsRadiology. Artificial intelligence. 2021;3(6):e200267
Deploying clinical machine learning? Consider the following...2109.06919v3 · Charles Lu, Ken Chang, Praveer Singh et al.2021 · 3 citationsarXiv
Fair Conformal Predictors for Applications in Medical Imaging2109.04392v3 · Charles Lu, Andreanne Lemay, Ken Chang et al.2021 · 54 citationsarXiv
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data.34223954 · Wang, Robin, Jiao, Zhicheng, Yang, Li et al.2021 · 67 citationsEuropean radiology. 2022;32(1):205-212
Increased per-patient imaging utilization in an emergency department setting during COVID-19.34274685 · Succi, Marc D, Chang, Ken, An, Thomas et al.2021 · 15 citationsClinical imaging. 2021;80:77-82
Thalamic neuroinflammation as a reproducible and discriminating signature for chronic low back pain.33065737 · Torrado-Carvajal, Angel, Toschi, Nicola, Albrecht, Daniel S et al.2021 · 46 citationsPain. 2021;162(4):1241-1249
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.33750227 · Bai, Harrison X, Wang, Robin, Xiong, Zeng et al.2022 · 32 citationsRadiology. 2021;299(1):E225
Addressing catastrophic forgetting for medical domain expansion2103.13511v1 · Sharut Gupta, Praveer Singh, Ken Chang et al.2021 · 11 citationsarXiv
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study.33773969 · Jiao, Zhicheng, Choi, Ji Whae, Halsey, Kasey et al.2021 · 116 citationsThe Lancet. Digital health. 2021;3(5):e286-e294
Automated Radiology-Arthroscopy Correlation of Knee Meniscal Tears Using Natural Language Processing Algorithms.33583713 · Li, Matthew D, Deng, Francis, Chang, Ken et al.2022 · 13 citationsAcademic radiology. 2022;29(4):479-487
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