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accseg-net

Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth (MICCAI 2021)

aitom

AI for tomography

apa2seg-net

Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration (Medical Image Analysis, 2021)

cos-net

One-Shot Learning With Attention-Guided Segmentation in Cryo-Electron Tomography (Frontiers in Molecular Biosciences, 2020)

dlrecon_workshop

dudornet

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)

fedftn

A Personalized Federated Learning Reconstruction Framework with Deep Feature Transformation Network: Application to Multi-institutional Low-dose PET Denoising (Under-review)

mdpet

MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-dose Gated PET (IEEE Transactions on Medical Imaging, 2021)

ucan

Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network (MICCAI 2021)

virtual-dual-energy

Generation of Virtual Dual-Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network (ACCV 2018)

weakly-supervised-chestxray-adaptivedensenet

A Weakly Supervised Adaptive Densenet for Classifying Thoracic Diseases and Identifying Abnormalities (2019)