vix.ing · top · new · best · stats · spec

Martin J. Menten

  1. Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
    2023/03/24 by Paul Hager, Hager, Paul, Martin J. Menten +3 · 12 citations
    Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
  2. The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
    2023/12/29 by Kaiyuan Yang, Fabio Musio, Yang, Kaiyuan +225 · 17 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #cs.CV #cs.LG #q-bio.QM #q-bio.TO
  3. Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
    2021/11/07 by Ivan Ezhov, Kevin Scibilia, Ezhov, Ivan +27 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Cell Image Analysis Techniques #Computational Engineering #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Finance #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #and Science (cs.CE) #electronic engineering #information engineering
  4. A skeletonization algorithm for gradient-based optimization
    2023/09/05 by Martin J. Menten, Menten, Martin J., Johannes C. Paetzold +15 · 3 citations
    Computer Science · Engineering · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging and Analysis
  5. 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images
    2023/09/15 by Alina F. Dima, Veronika A. Zimmer, Dima, Alina F. +19 · 2 citations
    Computer Science · Medicine · #Acute Ischemic Stroke Management #Cerebrovascular and Carotid Artery Diseases #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
  6. Towards Generalisable Time Series Understanding Across Domains
    2024/10/09 by Özgün Turgut, Philip Müller, Turgut, Özgün +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
  7. Specialized curricula for training vision-language models in retinal image analysis
    2024/07/11 by Robbie Holland, Thomas R. Taylor, Holland, Robbie +29 · 2 citations
    Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Medical and Biological Sciences
  8. Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs
    2022/07/22 by Martin J. Menten, Menten, Martin J., Johannes C. Paetzold +9 · 1 citation
    Medicine · Engineering · #Retinal Imaging and Analysis #Optical Coherence Tomography Applications #Retinal Diseases and Treatments
  9. A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
    2025/03/21 by David Mildenberger, Paul Hager, Mildenberger, David +6 · 1 voice · 1 citation
    Computer Science · #cs.LG #cs.CV
  10. Pitfalls of topology-aware image segmentation
    2024/12/19 by Alexander H. Berger, Berger, Alexander H., Laurin Lux +10 · 1 voice · 1 citation
    Computer Science · Medicine · #Image Retrieval and Classification Techniques #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #cs.AI #cs.CV #cs.LG
  11. Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
    2025/03/12 by C. H. Li, Laurin Lux, Li, Chenjun +9 · 2 citations
    Medicine · Computer Science · #Retinal Imaging and Analysis #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare