David J. Winkel

According to our database, David J. Winkel authored at least 3 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses.

David J. Winkel, Hanns-Christian Breit, Thomas J. Weikert, Bram Stieltjes

J. Digit. Imaging, 2021

2020

Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans.

Xin Yu, Bin Lou, Donghao Zhang, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans.

Xin Yu, Bin Lou, Bibo Shi, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen, Henkjan J. Huisman, Andrew Rosenkrantz, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020