Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

Computer-assisted image straightening and cropping

Official Python implementation of IEEE JBHI 2021 paper: "Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images"

Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations

Public release of ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans