yusuke1997/dblp-id-title huggingface dataset:
Image-Driven Cardiac Left Ventricle Segmentation for the Evaluation of Multiview Fused Real-Time 3-Dimensional Echocardiography Images
MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry
Hyperspherical von Mises-Fisher Mixture (HvMF) Modelling of High Angular Resolution Diffusion MRI
Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network
Graph-Based Label Propagation in Fetal Brain MR Images
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
Optimally-Discriminative Voxel-Based Analysis
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks
Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
Pathology Image Compression with Pre-trained Autoencoders
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII
Distribution-Guided Multi-tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion
Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization
Automatic Whole-Heart Segmentation in Congenital Heart Disease Using Deeply-Supervised 3D FCN
Using MR Physics for Domain Generalisation and Super-Resolution
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling
Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets
Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients
Analyzing Brain Structural Connectivity as Continuous Random Functions
Modeling of Multi-View 3D Freehand Radio Frequency Ultrasound
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion
Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
Transformer-Based Annotation Bias-Aware Medical Image Segmentation
Machine Learning for Medical Image Reconstruction - Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Robot-Assisted Prostate Brachytherapy
Improving Virtual Endoscopy for the Intestinal Tract
Active Shape Analysis of Mandibular Growth
PIPsUS: Self-supervised Point Tracking in Ultrasound
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
An Artificially Evolved Vision System for Segmenting Skin Lesion Images
Local Synthesis of Healthy Brain Tissue Using an Enhanced 3D Pix2Pix Model for Medical Image Inpainting
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features
Privileged Modality Guided Network for Retinal Vessel Segmentation in Ultra-Wide-Field Images
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
Deep Hourglass for Brain Tumor Segmentation
Mapping Brains on Grids of Features for Schizophrenia Analysis
Self Domain Adapted Network
Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt
Retrospective Cross-Evaluation of an Histological and Deformable 3D Atlas of the Basal Ganglia on Series of Parkinsonian Patients Treated by Deep Brain Stimulation
Clinical Evaluation of an Automatic Path Tracker for Virtual Colonoscopy
A Multi-modal Deep Learning Framework for Final Infarct Prediction in Acute Ischemic Stroke: Combining CTA, NCCT, and Clinical Data
Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset
Image Dissimilarity-Based Quantification of Lung Disease from CT
A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction
Time-Contrastive Pretraining for In-Context Image and Video Segmentation
Conditional Generative Data Augmentation for Clinical Audio Datasets
A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs
An Application-Dependent Framework for the Recognition of High-Level Surgical Tasks in the OR
Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks
Brain Age Prediction Based on Head Computed Tomography Segmentation
Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut
Confidence Calibration for Multimodal LLMs: An Empirical Study Through Medical VQA
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images
Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus
Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs
Topology Aware Fully Convolutional Networks for Histology Gland Segmentation
Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning
Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification
A Novel Streamline-Based Diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection
Process of Interpretation of Two-Dimensional Densitometry Images for the Prediction of Bone Mechanical Strength
Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation
Modeling and Analysis of Bioimpedance Measurements
VIOLET: Volumetric Image registration via Optimization and Learning for Efficient image Translation
Fast and Accurate Bronchoscope Tracking Using Image Registration and Motion Prediction
Multi-step, Learning-Based, Semi-supervised Image Registration Algorithm
Volume Visualization in the Clinical Practice
Diffusion Tensor Image Registration with Combined Tract and Tensor Features
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning
Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking
Reinforced Transformer for Medical Image Captioning
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction
Decision Support for Intoxication Prediction Using Graph Convolutional Networks
Nonlocal Patch-Based Label Fusion for Hippocampus Segmentation
Evaluation of Medical Image Registration by Using 3D SIFT and Phase-Only Correlation
GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment
Recovery of Surgical Workflow Without Explicit Models
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
Spherical Demons: Fast Surface Registration
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization
3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search
Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach
Soft Attention Improves Skin Cancer Classification Performance
LVPNet: A Latent-Variable-Based Prediction-Driven End-to-End Framework for Lossless Compression of Medical Images
Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors
An Adaptive Minimal Path Generation Technique for Vessel Tracking in CTA/CE-MRA Volume Images
Enhancing AI-Assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation
Improving Multi-Tensor Fitting with Global Information from Track Orientation Density Imaging
Structured Random Forests for Myocardium Delineation in 3D Echocardiography
Comparative Performance of State-of-the-Art Classifiers in Computer-Aided Detection for CT Colonography
Transductive Maximum Margin Classification of ADHD Using Resting State fMRI
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection
DARWIN: Deformable Patient Avatar Representation With Deep Image Network
Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation
Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation
Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration
Enhancing Head and Neck Tumor Segmentation in MRI: The Impact of Image Preprocessing and Model Ensembling
Vision-Based Assistance for Ophthalmic Micro-Surgery
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning
High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning
A Bottom-Up Approach for Real-Time Mitral Valve Annulus Modeling on 3D Echo Images
D 4 Recon: Dual-Stage Deformation and Dual-Scale Depth Guidance for Endoscopic Reconstruction
EndoSfM3D: Learning to 3D Reconstruct Any Endoscopic Surgery Scene Using Self-supervised Foundation Model
A Survey of Cervix Segmentation Methods in Magnetic Resonance Images
GNN-Based Unified Deep Learning
From Data to Value: Gaps in Federated Learning Evaluation for Clinical Deployment in Medical Imaging
Cardiac LV and RV Segmentation Using Mutual Context Information
Automatic Segmentation of LV and RV in Cardiac MRI
Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge
Contact Studies between Total Knee Replacement Components Developed Using Explicit Finite Elements Analysis
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration
USCL: Pretraining Deep Ultrasound Image Diagnosis Model Through Video Contrastive Representation Learning
Connectivity Subnetwork Learning for Pathology and Developmental Variations
Dictionary Learning Informed Deep Neural Network with Application to OCT Images
Out of Distribution Detection for Medical Images
An Atlas for Cardiac MRI Regional Wall Motion and Infarct Scoring
Closed-Form Relaxation for MRF-MAP Tissue Classification Using Discrete Laplace Equations
Semi-supervised 3D U-Net Learning Based on Meta Pseudo Labels
Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training
Automatic Statistical Identification of Neuroanatomical Abnormalities between Different Populations
Joint Multi-contrast Reconstruction of Fetal MRI Based on Implicit Neural Representations
Cross-conditioned Diffusion Model for Medical Image to Image Translation
XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-scale Feature Learning
Towards Accurate, Automatic Segmentation of the Hippocampus and Amygdala from MRI
Simulating Vascular Systems in Arbitrary Anatomies
Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning
Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery
Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net
JULIUS - An Extendable Software Framework for Surgical Planning and Image-Guided Navigation
Data-Driven Multi-modal Partial Medical Image Preregistration by Template Space Patch Mapping
Non-rigid Registration of 3D Ultrasound Images of Brain Tumours Acquired during Neurosurgery
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging
Dense Surface Reconstruction for Enhanced Navigation in MIS
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning
Streamline Density Normalization: A Robust Approach to Mitigate Bundle Variability in Multi-site Diffusion MRI
Simulation Model of Intravascular Ultrasound Images
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias
HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor
Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis
Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images
Are We Ready for Out-of-Distribution Detection in Digital Pathology?
Retinal Abnormalities Recognition Using Regional Multitask Learning
DS 3 -Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network
Surgical Video Captioning with Mutual-Modal Concept Alignment
Robotic Hand-Held Surgical Device: Evaluation of End-Effector's Kinematics and Development of Proof-of-Concept Prototypes
Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based Methodologies for Video Sequences Analysis
Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression
Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization
Learning While Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging
Multimodal Image Registration by Information Fusion at Feature Level
Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography
Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution
A Multi-task Learning Approach for Compartmental Model Parameter Estimation in DCE-CT Sequences
Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images
Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values
ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment
Fluroscopic Image Processing for Computer-Aided Orthopaedic Surgery
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
Robust Midsagittal Plane Extraction from Coarse, Pathological 3D Images
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I
Head and Neck Tumor Segmentation of MRI from Pre- and Mid-Radiotherapy with Pre-Training, Data Augmentation and Dual Flow UNet
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation
Region-of-Interest Guided Supervoxel Inpainting for Self-supervision
Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance
Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers
Surgical Planning and Patient-Specific Biomechanical Simulation for Tracheal Endoprostheses Interventions
Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling
Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography
EMDQ-SLAM: Real-Time High-Resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos
DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis
From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos
Anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs
Statistical Analysis of Gait Data to Assist Clinical Decision Making
Guided Unsupervised Desmoking of Laparoscopic Images Using Cycle-Desmoke
A One-Class Variational Autoencoder (OCVAE) Cascade for Classifying Atypical Bone Marrow Cell Sub-types
GRM Framework
Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images
Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network
Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Registration with Adjacent Anatomical Structures for Cardiac Resynchronization Therapy Guidance
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
A Variational Formulation for Discrete Registration
meval: A Statistical Toolbox for Fine-Grained Model Performance Analysis
Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures
Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development
Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System
Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
Implicit Deformable Medical Image Registration with Learnable Kernels
Vascular Shape Segmentation and Structure Extraction Using a Shape-Based Region-Growing Model
A 4D-Optical Measuring System for the Dynamic Acquisition of Anatomical Structures
Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography
Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models
Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches
Open-Source Platform for Prostate Motion Tracking During in-Bore Targeted MRI-Guided Biopsy
AURA: A Multi-modal Medical Agent for Understanding, Reasoning and Annotation
Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction
Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis
A Method for Planning Safe Trajectories in Image-Guided Keyhole Neurosurgery
Detection of Electrophysiology Catheters in Noisy Fluoroscopy Images
MR Compatibility of Mechatronic Devices: Design Criteria
Weakly Semi-supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
Fully Automatic Segmentation of the Hippocampus and the Amygdala from MRI Using Hybrid Prior Knowledge
Statistically Deformable 2D/3D Registration for Accurate Determination of Post-operative Cup Orientation from Single Standard X-ray Radiograph
Sensitivity Analysis of the Boundary Conditions in Simulations of the Flow in an Aortic Coarctation under Rest and Stress Conditions
Alignment of Tractography Streamlines Using Deformation Transfer via Parallel Transport
Towards a Comprehensive Morphological, Dynamic and Functional MRI Investigation of the Pediatric Bowel at 0.55T
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification
Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View
Total Variation Based 3D Reconstruction from Monocular Laparoscopic Sequences
Bayesian Tomographic Reconstruction Using Riemannian MCMC
Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research
Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs
MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures
Segmentation of the Subthalamic Nucleus in MR Images Using Information Fusion - A Preliminary Study for a Computed-Aided Surgery of Parkinson's Disease
Generating Anatomically Accurate Heart Structures via Neural Implicit Fields
An Efficient Observer Model for Assessing Signal Detection Performance of Lossy-Compressed Images
Segmentation Challenge on the Quantification of Left Atrial Wall Thickness
Brain Activation Mapping Based on Regional Synchronization of fMRI Signals Embedded in Graph Eigenmodes
Clinical-Inspired Network for Skin Lesion Recognition
Respiratory Signal Extraction for 4D CT Imaging of the Thorax from Cone-Beam CT Projections
A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN
MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI
A Partial Domain Approach to Enable Aortic Flow Simulation Without Turbulent Modeling
Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules
MDAA-Diff: CT-Guided Multi-dose Adaptive Attention Diffusion Model for PET Denoising
An Adaptive Method of Tracking Anatomical Curves in X-Ray Sequences
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI
Deep Learning Approaches for Monitoring Age-Related Macular Degeneration Progression in Optical Coherence Tomography
Integration and Clinical Evaluation of an Interactive Controllable Robotic System for Anaplastology
SwiM-UNet: A Lightweight Hybrid Swin Transformer-Vision Mamba U-Net with a Novel Adapter Design
Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons
Combining Front Propagation with Shape Knowledge for Accurate Curvilinear Modelling
Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation
Dual-Stream Multi-band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification
Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images Based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization
Improving Style Transfer in Dynamic Contrast Enhanced MRI Using a Spatio-Temporal Approach
Corners Detection for Bioresorbable Vascular Scaffolds Segmentation in IVOCT Images
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding
Interactive Multi-organ Segmentation Based on Multiple Template Deformation
Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis
ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis
A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI
Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk
Automatic Assessment of Fetal Multi-echo Diffusion Weighted Scans
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
Bayesian Dense Inverse Searching Algorithm for Real-Time Stereo Matching in Minimally Invasive Surgery
Learning-Boosted Label Fusion for Multi-atlas Auto-Segmentation
Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image
Unlearning Scanner Bias for MRI Harmonisation