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Landman, Bennett A.

  1. A large annotated medical image dataset for the development and evaluation of segmentation algorithms
    2019/02/25 by Amber L. Simpson, Michela Antonelli, Simpson, Amber L. +45 · 59 citations
    Medicine · Computer Science · #COVID-19 diagnosis using AI #Advanced Neural Network Applications #Radiomics and Machine Learning in Medical Imaging
  2. 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
    2022/09/29 by Lee, Ho Hin, Bao, Shunxing, Huo, Yuankai +1 · 10 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Foundation Models for Biomedical Image Segmentation: A Survey
    2024/01/15 by Lee, Ho Hin, Gu, Yu, Zhao, Theodore +9 · 9 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
    2023/04/09 by Deng, Ruining, Cui, Can, Liu, Quan +13 · 8 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  5. Cross-scale Multi-instance Learning for Pathological Image Diagnosis
    2023/04/01 by Deng, Ruining, Cui, Can, Remedios, Lucas W. +12 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  6. 3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
    2019/03/28 by Huo, Yuankai, Xu, Zhoubing, Xiong, Yunxi +7 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  7. Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
    2022/06/02 by Jun Li, Li, Jun, Junyu Chen +9 · 5 citations
    Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI #AI in cancer detection
  8. Common Limitations of Image Processing Metrics:A Picture Story
    2021/04/12 by Annika Reinke, Minu D. Tizabi, Reinke, Annika +124 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  9. Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
    2022/03/25 by Can Cui, Cui, Can, Haichun Yang +15 · 4 citations
    Computer Science · Medicine · Neuroscience · #AI in cancer detection #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
  10. Methods and open-source toolkit for analyzing and visualizing challenge results
    2019/10/11 by Wiesenfarth, Manuel, Reinke, Annika, Landman, Bennett A. +3 · 3 citations
    #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  11. Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
    2022/09/04 by Li, Thomas Z., Xu, Kaiwen, Gao, Riqiang +5 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
  12. Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
    2017/12/20 by Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
    2017/12/02 by Yuankai Huo, Huo, Yuankai, Zhoubing Xu +17 · 1 citation
    Engineering · Medicine · #Advanced X-ray and CT Imaging #Radiomics and Machine Learning in Medical Imaging #Medical Imaging and Analysis
  14. Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
    2018/11/09 by Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing +8 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. Cortical Surface Parcellation using Spherical Convolutional Neural\n Networks
    2019/07/11 by Prasanna Parvathaneni, Shunxing Bao, Parvathaneni, Prasanna +17 · 1 citation
    Computer Science · Engineering · Medicine · #Medical Image Segmentation Techniques #Medical Imaging and Analysis #Advanced Neuroimaging Techniques and Applications
  16. Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
    2020/06/28 by Huo, Yuankai, Cai, Jinzheng, Cheng, Chi-Tung +7 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  17. Characterizing Renal Structures with 3D Block Aggregate Transformers
    2022/03/04 by Yu, Xin, Tang, Yucheng, Zhou, Yinchi +10 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  18. Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification
    2023/04/06 by Thomas Z. Li, Li, Thomas Z., John M. Still +25 · 2 citations
    Medicine · #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI
  19. Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets
    2024/08/26 by Michael E. Kim, Kim, Michael E., Karthik Ramadass +25 · 2 citations
    Computer Science · Medicine · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #Databases (cs.DB) #Distributed #FOS: Computer and information sciences #Parallel #Radiomics and Machine Learning in Medical Imaging #and Cluster Computing (cs.DC)
  20. Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective
    2022/07/13 by Kaiwen Xu, Thomas Li, Xu, Kaiwen +15 · 1 citation
    Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  21. Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data
    2022/03/08 by Can Cui, Cui, Can, Han Liu +15 · 1 citation
    Medicine · Neuroscience · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Brain Tumor Detection and Classification #AI in cancer detection
  22. Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
    2020/10/19 by Gao, Riqiang, Tang, Yucheng, Xu, Kaiwen +7 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  23. Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
    2023/07/03 by Can Cui, Cui, Can, Yaohong Wang +25 · 1 citation
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
  24. Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
    2021/07/27 by Gao, Riqiang, Khan, Mirza S., Tang, Yucheng +6 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  25. No winners: Performance of lung cancer prediction models depends on screening-detected, incidental, and biopsied pulmonary nodule use cases
    2024/05/16 by Thomas Li, Kaiwen Xu, Li, Thomas Z. +30 · 1 citation
    Medicine · #Lung Cancer Diagnosis and Treatment #Lung Cancer Treatments and Mutations #Radiomics and Machine Learning in Medical Imaging
  26. Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
    2024/02/08 by Thomas A. Lasko, John M. Still, Lasko, Thomas A. +13 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Applications (stat.AP) #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #I.2.1 #I.2.6 #J.3 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting
    2024/10/07 by Zhang, Jinwei, Zuo, Lianrui, Liu, Yihao +4 · 3 citations
    #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  28. KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
    2025/02/11 by Ruining Deng, Tianyuan Yao, Deng, Ruining +90 · 2 citations
    Computer Science · #AI in cancer detection
  29. Self-supervised learning of imaging and clinical signatures using a multimodal joint-embedding predictive architecture
    2025/09/18 by Thomas Li, Aravind R. Krishnan, Li, Thomas Z. +13 · 1 citation
    Computer Science · Medicine · Neuroscience · #AI in cancer detection #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging