research
∙
09/03/2023
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
Domain shift is a common problem in clinical applications, where the tra...
share
research
∙
07/27/2023
Fact-Checking of AI-Generated Reports
With advances in generative artificial intelligence (AI), it is now poss...
research
∙
07/20/2023
Soft-tissue Driven Craniomaxillofacial Surgical Planning
In CMF surgery, the planning of bony movement to achieve a desired facia...
research
∙
12/01/2022
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
Domain generalization (DG) aims to train a model to perform well in unse...
research
∙
10/11/2022
Distance Map Supervised Landmark Localization for MR-TRUS Registration
In this work, we propose to explicitly use the landmarks of prostate to ...
research
∙
10/04/2022
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
Simulating facial appearance change following bony movement is a critica...
research
∙
07/12/2022
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images
Regression plays an essential role in many medical imaging applications ...
research
∙
06/14/2022
Federated Multi-organ Segmentation with Partially Labeled Data
Federated learning is an emerging paradigm allowing large-scale decentra...
research
∙
04/05/2022
Federated Cross Learning for Medical Image Segmentation
Federated learning (FL) can collaboratively train deep learning models u...
research
∙
03/24/2022
X-ray Dissectography Improves Lung Nodule Detection
Although radiographs are the most frequently used worldwide due to their...
research
∙
07/14/2021
End-to-end Ultrasound Frame to Volume Registration
Fusing intra-operative 2D transrectal ultrasound (TRUS) image with pre-o...
research
∙
07/09/2021
Cross-modal Attention for MRI and Ultrasound Volume Registration
Prostate cancer biopsy benefits from accurate fusion of transrectal ultr...
research
∙
05/20/2021
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Radiologists usually observe anatomical regions of chest X-ray images as...
research
∙
03/25/2021
Task-Oriented Low-Dose CT Image Denoising
The extensive use of medical CT has raised a public concern over the rad...
research
∙
03/03/2021
Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review
Surgical training in medical school residency programs has followed the ...
research
∙
02/18/2021
Noise Entangled GAN For Low-Dose CT Simulation
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose comput...
research
∙
11/18/2020
Robustified Domain Adaptation
Unsupervised domain adaptation (UDA) is widely used to transfer a model ...
research
∙
11/17/2020
Transducer Adaptive Ultrasound Volume Reconstruction
Reconstructed 3D ultrasound volume provides more context information com...
research
∙
08/16/2020
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography
The high risk population of cardiovascular disease (CVD) is simultaneous...
research
∙
07/20/2020
Integrative Analysis for COVID-19 Patient Outcome Prediction
While image analysis of chest computed tomography (CT) for COVID-19 diag...
research
∙
06/13/2020
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
Transrectal ultrasound (US) is the most commonly used imaging modality t...
research
∙
06/03/2020
Self-supervised Training of Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have been successfully applied to an...
research
∙
01/01/2020
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
This paper presents a unified training strategy that enables a novel mul...
research
∙
12/05/2019
OASIS: One-pass aligned Atlas Set for Image Segmentation
Medical image segmentation is a fundamental task in medical image analys...
research
∙
11/12/2019
Multi-hop Convolutions on Weighted Graphs
Graph Convolutional Networks (GCNs) have made significant advances in se...
research
∙
10/24/2019
Unified Multi-scale Feature Abstraction for Medical Image Segmentation
Automatic medical image segmentation, an essential component of medical ...
research
∙
03/28/2019
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation
Liver lesion segmentation is a difficult yet critical task for medical i...
research
∙
03/05/2019
Deep Learning in Medical Image Registration: A Survey
The establishment of image correspondence through robust image registrat...
research
∙
02/21/2019
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Accurate segmentation of the prostate from magnetic resonance (MR) image...
research
∙
02/20/2019
Knowledge-based Analysis for Mortality Prediction from CT Images
Recent studies have highlighted the high correlation between cardiovascu...
research
∙
10/19/2018
Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images
Known for its high morbidity and mortality rates, lung cancer poses a si...
research
∙
06/12/2018
Learning Deep Similarity Metric for 3D MR-TRUS Registration
Purpose: The fusion of transrectal ultrasound (TRUS) and magnetic resona...
research
∙
04/30/2018
Adversarial Image Registration with Application for MR and TRUS Image Fusion
Robust and accurate alignment of multimodal medical images is a very cha...
research
∙
08/03/2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
In this paper, we introduce a new CT image denoising method based on the...
research
∙
03/22/2017
Deeply-Supervised CNN for Prostate Segmentation
Prostate segmentation from Magnetic Resonance (MR) images plays an impor...
research
∙
02/22/2017
