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Bennett A. Landman

  1. The Future of Digital Health with Federated Learning
    2020/03/31 by Nicola Rieke, Jonny Hancox, Wenqi Li +18 · 97 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data #cs.CY #cs.LG
  2. 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. +52 · 114 citations
    Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging #cs.CV #eess.IV
  3. Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
    2021/11/29 by Yucheng Tang, Dong Yang, Tang, Yucheng +13 · 85 citations
    Computer Science · Engineering · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
  4. Learn2Reg: comprehensive multi-task medical image registration\n challenge, dataset and evaluation in the era of deep learning
    2021/12/08 by Alessa Hering, Hering, Alessa, Lasse Hansen +97 · 25 citations
    Engineering · Medicine · #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 #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  5. 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
    2022/09/29 by Ho Hin Lee, Shunxing Bao, Lee, Ho Hin +5 · 19 citations
    Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
  6. Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
    2023/04/09 by Ruining Deng, Deng, Ruining, Can Cui +29 · 18 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 #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  7. 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 · 10 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
  8. 3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
    2019/03/28 by Yuankai Huo, Zhoubing Xu, Huo, Yuankai +18 · 7 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #cs.CV
  9. Common Limitations of Image Processing Metrics:A Picture Story
    2021/04/12 by Annika Reinke, Minu D. Tizabi, Reinke, Annika +124 · 9 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
  10. Methods and open-source toolkit for analyzing and visualizing challenge results
    2019/10/11 by Manuel Wiesenfarth, Annika Reinke, Wiesenfarth, Manuel +9 · 7 citations
    Computer Science · Mathematics · #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV #stat.AP
  11. Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
    2022/06/02 by Jun Li, Junyu Chen, Li, Jun +9 · 8 citations
    Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI #AI in cancer detection
  12. Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
    2023/07/31 by Jeya Maria Jose Valanarasu, Valanarasu, Jeya Maria Jose, Yucheng Tang +19 · 5 citations
    Computer Science · Engineering · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
  13. Metrics reloaded: Recommendations for image analysis validation
    2022/06/03 by Lena Maier-Hein, Annika Reinke, Patrick Godau +71 · 1 voice · 1 citation
    Computer Science · #cs.CV
  14. White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan
    2023/09/26 by Kurt G. Schilling, Jordan A. Chad, Maxime Chamberland +12 · 1 voice · 3 citations
    Medicine · Neuroscience · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #Functional Brain Connectivity Studies
  15. Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
    2018/06/01 by Yuankai Huo, Huo, Yuankai, Zhoubing Xu +16 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Neurons and Cognition (q-bio.NC) #cs.CV #q-bio.NC
  16. A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
    2022/06/17 by Riqiang Gao, Thomas Li, Gao, Riqiang +17 · 2 citations
    Computer Science · Health Professions · Medicine · #Artificial Intelligence in Healthcare #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Healthcare
  17. Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
    2022/09/04 by Thomas Z. Li, Kaiwen Xu, Li, Thomas Z. +13 · 2 citations
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Lung Cancer Diagnosis and Treatment #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
  18. Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
    2017/12/20 by Yuankai Huo, Zhoubing Xu, Huo, Yuankai +9 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  19. Biomedical image analysis competitions: The state of current participation practice
    2022/12/16 by Matthias Eisenmann, Annika Reinke, Eisenmann, Matthias +452 · 2 citations
    Engineering · Medicine · #Artificial Intelligence in Healthcare and Education #Biomedical and Engineering Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
  20. Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
    2017/12/02 by Yuankai Huo, Huo, Yuankai, Zhoubing Xu +17 · 1 citation
    Computer Science · Engineering · Medicine · #Advanced X-ray and CT Imaging #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #cs.CV
  21. Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
    2018/11/09 by Yuankai Huo, Zhoubing Xu, Huo, Yuankai +19 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  22. Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
    2020/06/28 by Yuankai Huo, Jinzheng Cai, Huo, Yuankai +20 · 2 citations
    Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #cs.CV
  23. 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 · 2 citations
    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
  24. Cortical Surface Parcellation using Spherical Convolutional Neural Networks
    2019/07/11 by Prasanna Parvathaneni, Shunxing Bao, Parvathaneni, Prasanna +17 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Medicine · #Advanced Neuroimaging Techniques and Applications #Medical Image Segmentation Techniques #Medical Imaging and Analysis #eess.IV #q-bio.NC #q-bio.QM
  25. Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
    2023/07/03 by Can Cui, Yaohong Wang, Cui, Can +25 · 2 citations
    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
  26. Compound Figure Separation of Biomedical Images with Side Loss
    2021/07/19 by Tianyuan Yao, Chang Qu, Yao, Tianyuan +25 · 1 citation
    Computer Science · #AI in cancer detection #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #cs.CV
  27. Characterizing Renal Structures with 3D Block Aggregate Transformers
    2022/03/04 by Xin Yu, Yucheng Tang, Yu, Xin +23 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #cs.CV #eess.IV #electronic engineering #information engineering
  28. Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
    2021/09/18 by Shunxing Bao, Yucheng Tang, Bao, Shunxing +19 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Fluorescence Microscopy Techniques #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #cs.CV #eess.IV #electronic engineering #information engineering
  29. 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
  30. Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
    2022/08/15 by Ruining Deng, Can Cui, Deng, Ruining +27 · 1 citation
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Mycobacterium research and diagnosis
  31. Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation
    2024/06/18 by Xin Yu, Qi Yang, Yu, Xin +21 · 2 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Industrial Vision Systems and Defect Detection #electronic engineering #information engineering
  32. Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data
    2022/03/08 by Can Cui, Han Liu, Cui, Can +15 · 1 citation
    Medicine · Neuroscience · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Brain Tumor Detection and Classification #AI in cancer detection
  33. Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
    2020/10/19 by Riqiang Gao, Gao, Riqiang, Yucheng Tang +18 · 1 citation
    Computer Science · Engineering · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging #cs.CV #eess.IV #electronic engineering #information engineering
  34. 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)
  35. Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
    2021/07/27 by Riqiang Gao, Gao, Riqiang, Mirza S. Khan +15 · 1 citation
    Computer Science · Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #cs.CV
  36. Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
    2024/11/09 by Xinran Liu, Liu, Xinran, Yikun Bai +13 · 2 citations
    Computer Science · #Computational Geometry and Mesh Generation #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metric Geometry (math.MG)
  37. Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
    2024/02/08 by Thomas A. Lasko, John M. Still, Lasko, Thomas A. +13 · 3 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)
  38. 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
  39. Understanding metric-related pitfalls in image analysis validation
    2023/02/03 by Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75 · 1 voice
    Computer Science · #cs.CV
  40. Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting
    2024/10/07 by Jinwei Zhang, Lianrui Zuo, Zhang, Jinwei +11 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Cell Image Analysis Techniques #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  41. Considerations and Recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging
    2022/09/26 by Ileana Jelescu, Jelescu, Ileana O, Francesco Grussu +111 · 1 citation
    Medicine · #Advanced Neuroimaging Techniques and Applications #Bone and Joint Diseases #FOS: Biological sciences #FOS: Physical sciences #MRI in cancer diagnosis #Medical Physics (physics.med-ph) #Tissues and Organs (q-bio.TO)
  42. Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
    2020/07/31 by Mengyang Zhao, Aadarsh Jha, Quan Liu +6 · 1 citation
    Computer Science · Engineering · #cs.CV #cs.LG #eess.IV
  43. KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
    2025/02/11 by Ruining Deng, Deng, Ruining, Tianyuan Yao +90 · 2 citations
    Computer Science · #AI in cancer detection
  44. Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation
    2023/03/10 by Ho Hin Lee, Lee, Ho Hin, Quan Liu +17 · 2 citations
    Computer Science · #AI in cancer detection #Advanced Neural Network Applications #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) #Medical Image Segmentation Techniques #electronic engineering #information engineering
  45. Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules
    2025/02/05 by Thomas Li, Kaiwen Xu, Aravind R. Krishnan +14 · 1 voice · 1 citation
    Medicine · #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging #Lung Cancer Treatments and Mutations
  46. Self-supervised learning of imaging and clinical signatures using a multimodal joint-embedding predictive architecture
    2025/09/18 by Thomas Li, Li, Thomas Z., Aravind R. Krishnan +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