Arbel, Tal
- Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
2018/11/05 by Spyridon Bakas, Bakas, Spyridon, Mauricio Reyes +845 · 58 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CV #cs.LG #stat.ML
- Accounting for Variance in Machine Learning Benchmarks
2021/03/01 by Xavier Bouthillier, Pierre Delaunay, Bouthillier, Xavier +31 · 2 voices · 23 citations
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
2018/08/03 by Tanya Nair, T. R. Gopalakrishnan Nair, Doina Precup +6 · 1 voice · 12 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #cs.CV
- BIAS: Transparent reporting of biomedical image analysis challenges
2019/10/09 by Maier-Hein, Lena, Reinke, Annika, Kozubek, Michal +11 · 10 citations
#Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Common Limitations of Image Processing Metrics:A Picture Story
2021/04/12 by Annika Reinke, Reinke, Annika, Minu D. Tizabi +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
- Debiasing Counterfactuals In the Presence of Spurious Correlations
2023/08/21 by Kumar, Amar, Nima Fathi, Fathi, Nima +10 · 6 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education
- On Learning Fairness and Accuracy on Multiple Subgroups
2022/10/19 by Changjian Shui, Shui, Changjian, Gezheng Xu +13 · 4 citations
Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
2023/03/06 by Raghav Mehta, Mehta, Raghav, Changjian Shui +3 · 3 citations
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
- PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion
2025/02/28 by Anita Kriz, Kumar, Amar, Kriz, Anita +4 · 7 citations
Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
2024/05/15 by Nima Fathi, Fathi, Nima, Brennan Nichyporuk +6 · 4 citations
Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Scientific Computing and Data Management
- Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
2023/05/05 by Joshua Durso-Finley, Jean-Pierre Falet, Durso-Finley, Joshua +9 · 2 citations
Biochemistry, Genetics and Molecular Biology · Economics, Econometrics and Finance · Medicine · #Cell Image Analysis Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
- Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
2025/02/06 by Favero, Gian Mario, Parham Saremi, Emily Kaczmarek +6 · 5 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection
- Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
2023/07/04 by Shui, Changjian, Szeto, Justin, Mehta, Raghav +2 · 2 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
- Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
2023/10/24 by Xing‐Xing Shen, Shen, Xing, Hengguan Huang +5 · 2 citations
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
- Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
2022/11/15 by Anjun Hu, Hu, Anjun, Jean-Pierre Falet +11 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Radiomics and Machine Learning in Medical Imaging
- Grow-Push-Prune: aligning deep discriminants for effective structural network compression
2020/09/29 by Qing Tian, Tian, Qing, Tal Arbel +3 · 1 citation
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
2022/08/03 by Anjun Hu, Kumar, Amar, Hu, Anjun +10 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG)
- RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models
2025/03/20 by Saremi, Parham, Kumar, Amar, Mohamed, Mohamed +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
2025/06/29 by Xing‐Xing Shen, Justin Szeto, Shen, Xing +7 · 2 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering