7 citations · 24 across the 17 of their papers we have counts for
3 papers · 1 filter
A Physics-Driven Neural Network with Parameter Embedding for Generating Quantitative MR Maps from Weighted Images
Lingjing Chen, Chengxiu Zhang, Yinqiao Yi +9
We propose a deep learning-based approach that integrates MRI sequence parameters to improve the accuracy and generalizability of quantitative image synthesis from clinical weighte…
Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
G. A. Nketiah, M. R. Sunoqrot, E. Sandsmark +5
Objective: To develop and evaluate a deep radiomics model for clinically significant prostate cancer (csPCa, grade group >= 2) detection and compare its performance to Prostate Ima…
Artifacts of Quantization in Distance Transforms
Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert +1
Distance transforms are a central tool in shape analysis, morphometry, and curve evolution problems. This work describes and investigates an artifact present in distance maps compu…