Ben Glocker

1. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
   2014/12/04 by Bjoern Menze, Bjoern H. Menze, András Jakab +85 · 204 citations
   Computer Science · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #Medical Image Segmentation Techniques
2. Attention U-Net: Learning Where to Look for the Pancreas
   2018/04/11 by Ozan Oktay, Oktay, Ozan, Jo Schlemper +21 · 192 citations
   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
3. Domain Generalization via Model-Agnostic Learning of Semantic Features
   2019/10/29 by Qi Dou, Daniel C. Castro, Dou, Qi +5 · 40 citations
   Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
4. ElasticFusion: Real-time dense SLAM and light source estimation
   2016/09/29 by Thomas Whelan, Thomas J. Whelan, Renato F. Salas-Moreno +5 · 24 citations
   Engineering · Earth and Planetary Sciences · Environmental Science · #Robotics and Sensor-Based Localization #3D Surveying and Cultural Heritage #Remote Sensing and LiDAR Applications
5. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
   2024/04/16 by Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman +31 · 1 voice · 33 citations
   Medicine · Decision Sciences · Health Professions · #Artificial Intelligence in Healthcare and Education #Meta-analysis and systematic reviews #Healthcare cost, quality, practices
6. Deep Structural Causal Models for Tractable Counterfactual Inference
   2020/06/11 by Nick Pawlowski, Pawlowski, Nick, Daniel C. Castro +3 · 18 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
   2023/08/11 by Karim Lekadir, Lekadir, Karim, Aasa Feragen +214 · 15 citations
   Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #I.2.0 #I.4.0 #I.5.0 #Machine Learning (cs.LG)
8. Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
   2020/06/10 by Miguel Monteiro, Loïc Le Folgoc, Monteiro, Miguel +13 · 8 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification
9. Post-acute blood biomarkers and disease progression in traumatic brain injury
   2022/04/04 by Virginia F J Newcombe, Virginia Newcombe, Nicholas J Ashton +27 · 28 citations
   Medicine · Biochemistry, Genetics and Molecular Biology · #Traumatic Brain Injury and Neurovascular Disturbances #Traumatic Brain Injury Research #S100 Proteins and Annexins
10. Is MC Dropout Bayesian?
    2021/10/08 by Loïc Le Folgoc, Folgoc, Loic Le, Vasileios Baltatzis +17 · 5 citations
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
11. The medical algorithmic audit
    2022/04/05 by Xiaoxuan Liu, Ben Glocker, Melissa D. McCradden +3 · 1 voice · 3 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Sepsis Diagnosis and Treatment
12. Common Limitations of Image Processing Metrics:A Picture Story
    2021/04/12 by Annika Reinke, Minu D. Tizabi, Reinke, Annika +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
13. Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
    2019/07/22 by Matthew Chung Hai Lee, Ozan Oktay, Lee, Matthew C. H. +7 · 3 citations
    Computer Science · Engineering · #Medical Image Segmentation Techniques #Advanced Neural Network Applications #Medical Imaging and Analysis
14. Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
    2020/12/18 by Matthew Sinclair, Andreas Schuh, Sinclair, Matthew +13 · 3 citations
    Computer Science · Engineering · #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) #Medical Image Segmentation Techniques #Medical Imaging and Analysis #electronic engineering #information engineering
15. Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
    2017/02/11 by Vanya V. Valindria, Valindria, Vanya V., Ioannis Lavdas +13 · 2 citations
    Computer Science · Medicine · #Medical Image Segmentation Techniques #Advanced Neural Network Applications #Radiomics and Machine Learning in Medical Imaging
16. Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
    2018/05/02 by Benjamin Hou, Hou, Benjamin, Nina Miolane +17 · 2 citations
    Computer Science · Engineering · #Anatomy and Medical Technology #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging and Analysis
17. Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores
    2022/07/20 by Zeju Li, Li, Zeju, Konstantinos Kamnitsas +7 · 2 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Machine Learning in Healthcare
18. High-Resolution Mammogram Synthesis using Progressive Generative\n Adversarial Networks
    2018/07/09 by Dimitrios Korkinof, Tobias Rijken, Korkinof, Dimitrios +9 · 3 citations
    Computer Science · #AI in cancer detection #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
19. Automatic View Planning with Multi-scale Deep Reinforcement Learning\n Agents
    2018/06/08 by Amir Alansary, Alansary, Amir, Loïc Le Folgoc +25 · 1 citation
    Computer Science · Engineering · #Medical Image Segmentation Techniques #Advanced Neural Network Applications #Robotics and Sensor-Based Localization
20. Real-time Prediction of Segmentation Quality
    2018/06/16 by R. H. Robinson, Robinson, Robert, Ozan Oktay +37 · 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 Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
21. Graph Convolutional Gaussian Processes
    2019/05/14 by Ian D. Walker, Walker, Ian, Ben Glocker +1 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
22. Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
    2024/06/11 by Avinash Kori, Kori, Avinash, Francesco Locatello +9 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
23. Towards continual learning in medical imaging
    2018/11/06 by Chaitanya Baweja, Ben Glocker, Baweja, Chaitanya +3 · 2 citations
    Medicine · #Radiology practices and education #Ultrasound in Clinical Applications #Artificial Intelligence in Healthcare and Education
24. Distributional Gaussian Processes Layers for Out-of-Distribution Detection
    2022/06/27 by Sebastian Popescu, David Sharp, Popescu, Sebastian G. +7 · 1 citation
    Computer Science · Medicine · #Gaussian Processes and Bayesian Inference #Medical Imaging Techniques and Applications
25. Rethinking Fair Representation Learning for Performance-Sensitive Tasks
    2024/10/05 by Charles Jones, Jones, Charles, Fabio De Sousa Ribeiro +7 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
26. Analysing race and sex bias in brain age prediction
    2023/09/19 by Carolina Piçarra, Piçarra, Carolina, Ben Glocker +1 · 1 citation
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Fetal and Pediatric Neurological Disorders #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #electronic engineering #information engineering
27. Mitigating attribute amplification in counterfactual image generation
    2024/03/14 by Tian Xia, Xia, Tian, Mélanie Roschewitz +7 · 2 citations
    Engineering · Biochemistry, Genetics and Molecular Biology · #Image Processing Techniques and Applications #Cell Image Analysis Techniques
28. Structured Uncertainty in the Observation Space of Variational Autoencoders
    2022/05/25 by James K. Langley, Miguel P. Monteiro, Langley, James +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
29. Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
    2024/08/08 by Kate Čevora, Ben Glocker, Čevora, Kate +3 · 1 citation
    Medicine · #Colorectal Cancer Screening and Detection #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
30. CF-Seg: Counterfactuals meet Segmentation
    2025/06/19 by Raghav Mehta, Mehta, Raghav, Fabio De Sousa Ribeiro +11 · 4 citations
    Medicine · Computer Science · Engineering · #COVID-19 diagnosis using AI #AI in cancer detection #Medical Imaging and Analysis
31. Latent Causal Modeling for 3D Brain MRI Counterfactuals
    2024/09/09 by Wei Peng, Tian Xia, Peng, Wei +13 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
32. Continuous Bayesian Model Selection for Multivariate Causal Discovery
    2024/11/15 by Anish Dhir, Ruby Sedgwick, Dhir, Anish +7 · 1 citation
    Computer Science · Engineering · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic
33. Needles in Haystacks: On Classifying Tiny Objects in Large Images
    2019/08/16 by Nick Pawlowski, Suvrat Bhooshan, Pawlowski, Nick +9 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Machine Learning (cs.LG)