Pluim, Josien P. W.
- Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
2016/03/01 by Sirinukunwattana, Korsuk, Pluim, Josien P. W., Chen, Hao +16 · 15 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Not-so-supervised: a survey of semi-supervised, multi-instance, and\n transfer learning in medical image analysis
2018/04/17 by Veronika Cheplygina, Cheplygina, Veronika, Marleen de Bruijne +3 · 9 citations
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
- Roto-Translation Equivariant Convolutional Networks: Application to\n Histopathology Image Analysis
2020/02/20 by Maxime W. Lafarge, Lafarge, Maxime W., Erik J. Bekkers +7 · 3 citations
Computer Science · Engineering · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Medical Imaging and Analysis
- Isointense infant brain MRI segmentation with a dilated convolutional neural network
2017/08/09 by Pim Moeskops, Moeskops, Pim, Josien P. W. Pluim +1 · 2 citations
Computer Science · #Advanced Neural Network Applications #Gaussian Processes and Bayesian Inference #Speech Recognition and Synthesis
- Crowd disagreement of medical images is informative
2018/06/21 by Veronika Cheplygina, Cheplygina, Veronika, Josien P. W. Pluim +1 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #Data-Driven Disease Surveillance #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Imbalanced Data Classification Techniques
- WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
2024/03/14 by Liu, Hong, Yang, Haosen, van Diest, Paul J. +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
2021/07/27 by Raumanns, Ralf, Schouten, Gerard, Joosten, Max +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Scaling up self-supervised learning for improved surgical foundation models
2025/01/16 by Jaspers, Tim J. M., de Jong, Ronald L. P. D., Li, Yiping +12 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles
2024/12/23 by Huijben, Evi M. C., Amirrajab, Sina, Pluim, Josien P. W. · 1 citation
#68T07 #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
- Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
2025/03/06 by Hong Liu, Haosen Yang, Liu, Hong +7 · 1 citation
Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #electronic engineering #information engineering