research
∙
07/21/2022
Focused Decoding Enables 3D Anatomical Detection by Transformers
Detection Transformers represent end-to-end object detection approaches ...
share
research
∙
03/01/2022
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning
Automatic localization and segmentation of organs-at-risk (OAR) in CT ar...
research
∙
10/24/2021
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images
Collateral circulation results from specialized anastomotic channels whi...
research
∙
05/14/2021
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Self-supervision has demonstrated to be an effective learning strategy w...
research
∙
09/09/2020
Real-time Bayesian personalization via a learnable brain tumor growth model
Modeling of brain tumor dynamics has the potential to advance therapeuti...
research
∙
08/18/2020
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
Osteoporotic vertebral fractures have a severe impact on patients' overa...
research
∙
05/11/2020
Deep Reinforcement Learning for Organ Localization in CT
Robust localization of organs in computed tomography scans is a constant...
research
∙
08/14/2019
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
Multi-organ segmentation in whole-body computed tomography (CT) is a con...
research
∙
03/31/2018
Webly Supervised Learning for Skin Lesion Classification
Within medical imaging, manual curation of sufficient well-labeled sampl...
research
∙
03/23/2018