Chang, Ken

1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
   2018/11/05 by Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras +421 · 53 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
   2024/05/28 by Maria Correia de Verdier, de Verdier, Maria Correia, Rachit Saluja +166 · 26 citations
   Medicine · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Glioma Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
3. Fair Conformal Predictors for Applications in Medical Imaging
   2021/09/09 by Charles Lu, Andréanne Lemay, Lu, Charles +7 · 12 citations
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
4. Split Learning for collaborative deep learning in healthcare
   2019/12/27 by Maarten G. Poirot, Praneeth Vepakomma, Poirot, Maarten G. +9 · 8 citations
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Parallel #and Cluster Computing (cs.DC)
5. Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
   2018/12/19 by Bruno Lecouat, Ken Chang, Lecouat, Bruno +17 · 2 citations
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Retinal Imaging and Analysis
6. Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating
   2022/02/10 by Ikbeom Jang, Jang, Ikbeom, Garrison Danley +5 · 2 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.1 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
7. Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
   2017/09/09 by Beers, Andrew, Chang, Ken, Brown, James +5 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
8. High-resolution medical image synthesis using progressively grown\n generative adversarial networks
   2018/05/08 by Andrew Beers, Beers, Andrew, James M. Brown +11 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing Techniques and Applications
9. Assessing the (Un)Trustworthiness of Saliency Maps for Localizing\n Abnormalities in Medical Imaging
   2020/08/06 by Nishanth Arun, Nathan Gaw, Arun, Nishanth +24 · 2 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
10. Three Applications of Conformal Prediction for Rating Breast Density in Mammography
    2022/06/23 by Lu, Charles, Chang, Ken, Singh, Praveer +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
11. Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
    2022/09/12 by Sourav Kumar, A. Lakshminarayanan, Kumar, Sourav +13 · 1 citation
    Computer Science · Mathematics · Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Radiomics and Machine Learning in Medical Imaging #Statistical Methods and Inference
12. SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning
    2025/06/26 by Melanie Rieff, Rieff, Melanie, Maya Varma +21 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech and dialogue systems #Topic Modeling
13. Give me (un)certainty -- An exploration of parameters that affect\n segmentation uncertainty
    2019/11/14 by Katharina Hoebel, Hoebel, Katharina, Ken Chang +8 · 1 citation
    Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Explainable Artificial Intelligence (XAI) #Medical Imaging Techniques and Applications