International evaluation of an AI system for breast cancer screening

Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, +27

Nature

Artificial IntelligenceEngineeringMachine LearningData ScienceCancer Detection +12

Clinically applicable deep learning for diagnosis and referral in retinal disease

Jeffrey De Fauw, Joseph R. Ledsam, Bernardino Romera‐Paredes, +31

Nature Medicine

Convolutional Neural NetworkOcular DiseaseEngineeringMachine LearningDeep Learning +8

Data-Efficient Image Recognition with Contrastive Predictive Coding

Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, +4

arXiv (Cornell University)

Convolutional Neural NetworkEngineeringMachine LearningAutoencodersImage Classification +15

Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch, +26

Journal of Medical Internet Research

Predicting conversion to wet age-related macular degeneration using deep learning

Jason Yim, Reena Chopra, Terry Spitz, +22

Nature Medicine

Ocular DiseaseEngineeringMachine LearningOphthalmologyAge-related Diseases +4

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Viknesh Sounderajah, Hutan Ashrafian, Robert Golub, +28

BMJ Open

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch, +26

arXiv (Cornell University)

EngineeringMachine LearningRadiotherapy PathwaysDiagnostic ImagingImage Analysis +19

Self-Supervised MultiModal Versatile Networks

Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, +6

arXiv (Cornell University)

Natural Language ProcessingMultimodal LlmImage AnalysisMachine LearningData Science +13

Exploiting Cyclic Symmetry in Convolutional Neural Networks

Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu

arXiv (Cornell University)

Geometric LearningData AugmentationRotational SymmetryMachine VisionMachine Learning +13

A Probabilistic U-Net for Segmentation of Ambiguous Images

Simon Köhl, Bernardino Romera‐Paredes, Clemens Meyer, +6

arXiv (Cornell University)

EngineeringMachine LearningAutoencodersImage Sequence AnalysisImage Analysis +17