yusuke1997/dblp-id-title huggingface dataset:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
Domain Aware Medical Image Classifier Interpretation by Counterfactual Impact Analysis
Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT
Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography
UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa
Neural Autoregressive Modeling of Brain Aging
A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels
DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction
PanDx: AI-Assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults
TaGAT: Topology-Aware Graph Attention Network for Multi-modal Retinal Image Fusion
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI
Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks
Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging
Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding
Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I
Atlas Construction via Dictionary Learning and Group Sparsity
Intraoperative Registration by Cross-Modal Inverse Neural Rendering
Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems
Fast DRR Generation for 2D/3D Registration
Small Occupancy Robotic Mechanisms for Endoscopic Surgery
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
RedDino: A Foundation Model for Red Blood Cell Analysis
Dynamic Guidance for Robotic Surgery Using Image-Constrained Biomechanical Models
Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis
Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task
Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-Guided Hierarchical Experts
A New Stochastic Framework for Accurate Lung Segmentation
Minimization of Intra-Operative Shaping of Orthopaedic Fixation Plates: A Population-Based Design
Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image
CT and MR Compatible Light Puncture Robot: Architectural Design and First Experiments
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
Learning Generalized Non-rigid Multimodal Biomedical Image Registration from Generic Point Set Data
Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates
Patient-Level Contrastive Learning for Enhanced Biomarker Prediction in Retinal Imaging
DWARF: Disease-Weighted Network for Attention Map Refinement
CSAL-3D: Cold-Start Active Learning for 3D Medical Image Segmentation via SSL-Driven Uncertainty-Reinforced Diversity Sampling
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
Population-Graph Post-hoc Correction of Survival Predictions for Improved Risk Stratification
Simulation of Local and Global Atrophy in Alzheimer's Disease Studies
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach
SegNetr: Rethinking the Local-Global Interactions and Skip Connections in U-Shaped Networks
A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors
Augmented Environments for Computer-Assisted Interventions - 10th International Workshop, AE-CAI 2015 Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Proceedings
Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
Segmentation, Registration, and Deformation Analysis of 3D MR Images of Mice
Quantifying Parameter Estimation Difficulty of dMRI Models by Submanifold Geometry in Signal Space
A Liver Atlas Using the Special Euclidean Group
Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models
A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution
Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation
Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest
Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification
Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation
Targeted Optical Biopsies for Surveillance Endoscopies
Expertise Modeling for Automated Planning of Acetabular Cup in Total Hip Arthroplasty Using Combined Bone and Implant Statistical Atlases
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
SlicerSALT: Shape AnaLysis Toolbox
Longitudinal Cortical Thickness Estimation Using Khalimsky's Cubic Complex
A New Biomechanical Model Based Approach on Brain Shift Compensation
A Coarse-to-Fine Framework for Mid-Radiotherapy Head and Neck Cancer MRI Segmentation
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
MH-pFLGB: Model Heterogeneous Personalized Federated Learning via Global Bypass for Medical Image Analysis
Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation
Statistical Regularization of Deformation Fields for Atlas-Based Segmentation of Bone Scintigraphy Images
Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis?
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders
A Methodology to Validate MRI/SPECT Registration Methods Using Realistic Simulated SPECT Data
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge
Accurate and Robust Fully-Automatic QCA: Method and Numerical Validation
Discriminative Log-Euclidean Kernels for Learning on Brain Networks
SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection
3D Spine Reconstruction of Postoperative Patients from Multi-level Manifold Ensembles
Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling
Accurate Airway Wall Estimation Using Phase Congruency
Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images
ASCON: Anatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising
Edema-Informed Anatomically Constrained Particle Filter Tractography
Fast Marker Based C-Arm Pose Estimation
Stochastic 3D Motion Compensation of Coronary Arteries from Monoplane Angiograms
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data
A Construction of an Averaged Representation of Human Cortical Gyri Using Non-linear Principal Component Analysis
PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer
A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis
Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T 1 Mapping
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Non-invasive Measurement of Biomechanical Properties of in vivo Soft Tissues
Multi-level Gated U-Net for Denoising TMR Sensor-Based MCG Signals
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images
NerT-CA: Efficient Dynamic Reconstruction from Sparse-View X-ray Coronary Angiography
Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images
Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks
Development of a Compact Cable-Driven Laparoscopic Endoscope Manipulator
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts
Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis
Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification?
Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels
Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering
Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images
Diffusion-Based Population Statistics Using Tract Probability Maps
A Training Tool for Ultrasound-Guided Central Line Insertion with Webcam-Based Position Tracking
3D Ultrasound to Stereoscopic Camera Registration through an Air-Tissue Boundary
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE
The AGU-Net Architecture for Brain Tumor Segmentation: BraTS Challenges 2023
STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning
Physics-Aware Motion Simulation For T2*-Weighted Brain MRI
Prostate Cancer MR Imaging
A New 3D Parametric Intensity Model for Accurate Segmentation and Quantification of Human Vessels
A Boosted Segmentation Method for Surgical Workflow Analysis
Mass Preserving Mappings and Image Registration
Hessian-Based Similarity Metric for Multimodal Medical Image Registration
Fractional Segmentation of White Matter
A Fast Automatic Juxta-pleural Lung Nodule Detection Framework Using Convolutional Neural Networks and Vote Algorithm
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)
HUP-3D: A 3D Multi-view Synthetic Dataset for Assisted-Egocentric Hand-Ultrasound-Probe Pose Estimation
Text2Organ: Text-Driven Multimodal Organ Segmentation for CT Scans
Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques
Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification
Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons
Virtual Coiling of Intracranial Aneurysms Based on Dynamic Path Planning
Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation
DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling
Probabilistic-Driven Oriented Speckle Reducing Anisotropic Diffusion with Application to Cardiac Ultrasonic Images
Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction
Modeling of Brain Tissue Retraction Using Intraoperative Data
Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation
Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND)
Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images
Construction of Spatiotemporal Infant Cortical Surface Functional Templates
Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure
Multi-modal Progressive Fusion for ASD Screening Using Smartphone Video
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model
Nonrigid Reconstruction of Freehand Ultrasound Without a Tracker
Kinetic Textural Biomarker for Predicting Survival of Patients with Advanced Hepatocellular Carcinoma After Antiangiogenic Therapy by Use of Baseline First-Pass Perfusion CT
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection
Modal Uncertainty Estimation for Medical Imaging Based Diagnosis
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity
A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection
Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation
AC-UNet: A Self-adaptive Cropping Approach for Kidney Pathology Image Segmentation
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement
Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network
Clinical-Grade Multi-organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model
Prostate Segmentation in 2D Ultrasound Images Using Image Warping and Ellipse Fitting
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
Multi-atlas and Gaussian Mixture Modeling Based Perirectal Fat Segmentation from CT Images
Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
Bayesian Atlas Building with Hierarchical Priors for Subject-Specific Regularization
Dense Deformation Reconstruction via Sparse Coding
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains
Improving the Detection Performance in Semi-automatic Landmark Extraction
Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution
Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy
Modeling Spectral Changes to Visualize Embedded Volume Structures for Medical Image Data
A Generative Model for Resolution Enhancement of Diffusion MRI Data
Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images
Perceptual Quality Assessment of Chest Radiograph
Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence
Flash Scanning Electron Microscopy
Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography
Was that so Hard? Estimating Human Classification Difficulty
Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images
Single Fiber Optical Coherence Tomography Microsurgical Instruments for Computer and Robot-Assisted Retinal Surgery
Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks
Determination of Error in 3D CT to 2D Fluoroscopy Image Registration for Endobronchial Guidance
ChrSNet: Chromosome Straightening Using Self-attention Guided Networks
Semi-supervised Instance Segmentation with a Learned Shape Prior
Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy
A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels
Improving Hexahedral-FEM-Based Plasticity in Surgery Simulation
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN
Multi-modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning
3D Patchwise U-Net with Transition Layers for MR Brain Segmentation
Prediction of Spherical Equivalent with Vanilla ResNet
Visual Servoing for Intraoperative Positioning and Repositioning of Mobile C-arms
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data
A Novel 3D Partitioned Active Shape Model for Segmentation of Brain MR Images
MIP-Based Tumor Segmentation: A Radiologist-Inspired Approach
Semi-supervised 2D Dental Image Segmentation via Cross Teaching Network
RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports
Intra- and Cross-View Enhancement for OCTA Imaging
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm
STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains
Whole Slide Image Registration for the Study of Tumor Heterogeneity
Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy
Efficient Robust Reconstruction of Dynamic PET Activity Maps with Radioisotope Decay Constraints
Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images
Biopsy Site Re-localisation Based on the Computation of Epipolar Lines from Two Previous Endoscopic Images
Learning Site-Specific Styles for Multi-institutional Unsupervised Cross-Modality Domain Adaptation
PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
Annotation-Efficient Cell Counting
FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images
Ophthalmic Slitlamp-Based Computer-Aided Diagnosis: Image Processing Foundations
Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation
Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images
Training Set Diversity: A Key Factor in AI-Driven Breast Ultrasound Classification
A Universal End-to-End Description of Pulse-Echo Ultrasound Image Reconstruction
Multiscale Multimodal Medical Imaging - Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
LHU-Net: A Lean Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Segmentation
Exploiting Weak Shape Constraints to Segment Capillary Images in Microangiopathy
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
A Learning Framework for Predicting CT-Based PRM Biomarker from MRI Sequences in COPD
Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations
Head Motion Compensation for Arterial Spin Labeling Using Optical Motion Tracking
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons
Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke
Learning Segmentation from Radiology Reports
Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients
A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps
M 2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients
Exploring Symmetries in Breast MRI Scan
Non-rigid Multimodal Image Registration Using Mutual Information
Simulation Studies for Predicting Surgical Outcomes in Breast Reconstructive Surgery
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification
Automatic Detection of Multiple and Overlapping EP Catheters in Fluoroscopic Sequences
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images
Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network
Abnormality-Driven Representation Learning for Radiology Imaging
Enhancing Fourier Volume Rendering Using Contour Extraction
TGANet: Text-Guided Attention for Improved Polyp Segmentation
Multi-task Lung Nodule Detection in Chest Radiographs with a Dual Head Network
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays
Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors
Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation
Generalized Visual Field Pattern Discovery Using Archetypal Analysis
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions
The Role of Subgroup Separability in Group-Fair Medical Image Classification
A Computational Model of Cerebral Cortex Folding
HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images
Learning Real Noise for Ultra-Low Dose Lung CT Denoising
Communal Domain Learning for Registration in Drifted Image Spaces
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
Hybrid Bronchoscope Tracking Using a Magnetic Tracking Sensor and Image Registration
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks