Veronika Cheplygina
- 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
- High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
2020/11/16 by Rosana El Jurdi, Jurdi, Rosana El, Caroline Petitjean +7 · 4 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Medical Imaging and Analysis
- Common Limitations of Image Processing Metrics:A Picture Story
2021/04/12 by Annika Reinke, Reinke, Annika, Minu D. Tizabi +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
- Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
2022/11/08 by Amelia Jiménez-Sánchez, Dovile Juodelyte, Jiménez-Sánchez, Amelia +5 · 5 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection
- Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
2024/09/26 by Evangelia Christodoulou, Annika Reinke, Christodoulou, Evangelia +44 · 1 voice · 2 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education
- Crowd disagreement of medical images is informative
2018/06/21 by Veronika Cheplygina, Josien P. W. Pluim, Cheplygina, Veronika +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
- Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
2024/03/07 by Dovile Juodelyte, Yucheng Lu, Juodelyte, Dovile +9 · 2 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Medical Imaging Techniques and Applications #AI in cancer detection
- Mask of truth: model sensitivity to unexpected regions of medical images
2024/12/05 by Théo Sourget, Sourget, Théo, Michelle Hestbek-Møller +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
2021/07/13 by Irma van den Brandt, Brandt, Irma van den, Floris Fok +6 · 1 citation
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #AI in cancer detection
- False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
2025/05/07 by Evangelia Christodoulou, Annika Reinke, Christodoulou, Evangelia +46 · 2 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Radiomics and Machine Learning in Medical Imaging
- Data Annotations as Pedagogical Hints: From Subjective Labels to Critical Thinking
2026/07/22 by Ralf Raumanns, Theresa Elstner, Louis Ferger-Andrews +5
#cs.CY