Sandy Engelhardt

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti et al. · IEEE Transactions on Medical Imaging · 2018 · 2.1K citations · Full text

Convolutional Neural Network, Multiple Instance Learning, Engineering +22

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Zhaohan Xiong, Qing Xia, Zhiqiang Hu et al. · Medical Image Analysis · 2020 · 446 citations · Full text

Engineering, Health Sciences, Medical Imaging +12

Denoising diffusion probabilistic models for 3D medical image generation

Firas Khader, Gustav Müller‐Franzes, Soroosh Tayebi Arasteh et al. · Scientific Reports · 2023 · 255 citations · Full text

Preoperative Three-Dimensional Model Creation of Magnetic Resonance Brain Images as a Tool to Assist Neurosurgical Planning

Bruce Spottiswoode, Dawie J. van den Heever, Yulin V. Chang et al. · Stereotactic and Functional Neurosurgery · 2013 · 76 citations

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology

Emma Svennberg, Janet K. Han, Enrico G. Caiani et al. · EP Europace · 2025 · 40 citations · Full text