Publications

Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images

Non-Stationary Spectral State-Space Networks with Region-Wise Frequency Routing for Robust Fundus Vessel Segmentation

TeDyS: Temporal Dynamics with Spatial Context for Longitudinal Progression Prediction

Frequency-Aware Post-Training Quantization for Medical Image Denoising

MOCDT: Multi-Cancer Detection and Tissue-of-Origin Classification via cfDNA Multi-modal Integration

SeqDA-HLA: Language model and dual attention-based network to predict peptide-HLA class I binding

MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion

Unsupervised motion artifacts reduction for cone-beam CT via enhanced landmark detection

FMD: Comprehensive Data Compression in Medical Domain via Fused Matching Distillation

Riemannian Geometric-based Meta Learning

D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification

Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic Imaging

GeoRefineNet: A Multistage Framework for Enhanced Cephalometric Landmark Detection in CBCT Images Using 3D Geometric Information

Low-dose computed tomography perceptual image quality assessment

A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective

Efficient Deep-detector Image Quality Assessment Based on Knowledge Distillation

Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time series data

Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-shapes for Transformer-based Medical Tasks

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising

Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model

An Unsupervised Two-step Training Framework for Low-dose Computed Tomography Denoising

MM-net: Multi-frame and Multi-mask-based Unsupervised Deep Denoising for Low-dose Computed Tomography

Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study

A motion-level-aware denoising framework for x-ray fluoroscopic images

Intra-person multi-task learning method for chronic-disease prediction

A Multi-kernel and Multi-scale Learning Based Deep Ensemble Model for Predicting Recurrence of Non-small Cell Lung Cancer

Object Detectors Involving a NAS-gate Convolutional Module and Capsule Attention Module

No-reference perceptual CT image quality assessment based on a self-supervised learning framework

Rigid and Non-rigid Motion Compensation in Weight-bearing CBCT of the Knee using Simulated Inertial Measurements

Unsupervised Domain Adaptation for Low-dose Computed Tomography Denoising

MFA-net: Object Detection for Complex X-ray Cargo and Baggage Security Imagery

Botulinum neurotoxin type A improves vasti muscle balance, patellar tracking, and pain in patients with chronic patellofemoral pain

Wavelet Subband-specific Learning for Low-dose Computed Tomography Denoising

Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and noise filtering

Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects

3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT

Integration of 2D Iteration and a 3D CNN-Based Model for Multi-Type Artifact Suppression in C-arm Cone-Beam CT

A Sequential and Intensive Weighted Language Modeling Scheme for Multi-Task Learning-Based Natural Language Understanding

Analysis of Understanding Using Deep Learning Facial Expression Recognition for Real time Online Lectures

The effect of patellofemoral pain syndrome on patellofemoral joint kinematics under upright weight-bearing conditions

Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers

Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT

Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results Conference on Computer Vision and Pattern Recognition

A learning-based material decomposition pipeline for multi-energy x-ray imaging

Automated stitching of microscope images of fluorescence in cells with minimal overlap

Multidimensional Noise Reduction in C-arm Cone-beam CT via 2D-based Landweber Iteration and 3D-based Deep Neural Network

Deep Convolutional Neural Network-Based Automated Lesion Detection in Wireless Capsule Endoscopy