research
∙
06/01/2023
Improving and Benchmarking Offline Reinforcement Learning Algorithms
Recently, Offline Reinforcement Learning (RL) has achieved remarkable pr...
share
research
∙
08/28/2022
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers
Automatically measuring lesion/tumor size with RECIST (Response Evaluati...
research
∙
07/22/2022
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation
In order to cope with the increasing demand for labeling data and privac...
research
∙
12/16/2021
Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis
Knee osteoarthritis (OA) is a common degenerate joint disorder that affe...
research
∙
04/29/2021
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph
Landmark localization plays an important role in medical image analysis....
research
∙
04/05/2021
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray
Osteoporosis is a common chronic metabolic bone disease that is often un...
research
∙
03/24/2021
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
Bone mineral density (BMD) is a clinically critical indicator of osteopo...
research
∙
01/27/2021
ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection
Brain storm optimization (BSO) is a newly proposed population-based opti...
research
∙
12/30/2020
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Exploiting available medical records to train high performance computer-...
research
∙
12/07/2020
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Object detection methods are widely adopted for computer-aided diagnosis...
research
∙
12/02/2020
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Accurate segmentation of anatomical structures is vital for medical imag...
research
∙
07/06/2020
Learning to Segment Anatomical Structures Accurately from One Exemplar
Accurate segmentation of critical anatomical structures is at the core o...
research
∙
07/03/2020
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
Visual cues of enforcing bilaterally symmetric anatomies as normal findi...
research
∙
09/04/2019
