Attention U-Net: Learning Where to Look for the Pancreas

Ozan Oktay, Jo Schlemper, Loïc Le Folgoc, +9

ArXiv.org

Convolutional Neural NetworkEngineeringMachine LearningNovel Attention GateImage Classification +16

Attention gated networks: Learning to leverage salient regions in medical images

Jo Schlemper, Ozan Oktay, Michiel Schaap, +4

Medical Image Analysis

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, +10

IEEE Transactions on Medical Imaging

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, +20

Journal of Cardiovascular Magnetic Resonance

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, +8

IEEE Transactions on Medical Imaging

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

Ricardo Guerrero, Chen Qin, Ozan Oktay, +8

NeuroImage Clinical

Evaluating reinforcement learning agents for anatomical landmark detection

Amir Alansary, Ozan Oktay, Yuanwei Li, +8

Medical Image Analysis

Artificial IntelligenceMachine VisionMachine LearningImage AnalysisEngineering +7

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, +13

Structured PredictionEngineeringMachine LearningMultimodal LearningLanguage Processing +19

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

Olivier Bernard, Johan G. Bosch, Brecht Heyde, +27

IEEE Transactions on Medical Imaging

EngineeringBiomedical EngineeringDiastolic FunctionDiagnostic ImagingImage Analysis +19

Active label cleaning for improved dataset quality under resource constraints

Mélanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, +9

Nature Communications