yusuke1997/dblp-id-title huggingface dataset:
Robust and Scalable Interactive Freeform Modeling of High Definition Medical Images
Efficient and Phase-Aware Video Super-Resolution for Cardiac MRI
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset
Reasoning-Enhanced Vision-Language Model for Interpretable Diabetic Retinopathy Detection in Ultra-Wide-Field Fundus Images
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation
A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis
Automated Navigator Tracker Placement for MRI Liver Scans
Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
Toward Computer-Assisted Planning for Interstitial Laser Ablation of Malignant Brain Tumors Using a Tubular Continuum Robot
Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images
Detection of Protrusions in Curved Folded Surfaces Applied to Automated Polyp Detection in CT Colonography
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
Few Slices Suffice: Multi-faceted Consistency Learning with Active Cross-Annotation for Barely-Supervised 3D Medical Image Segmentation
Pareto Front vs. Weighted Sum for Automatic Trajectory Planning of Deep Brain Stimulation
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification
Persistent Reeb Graph Matching for Fast Brain Search
Multiple Coils for Reduction of Flow Artefacts in MR Images
Computational Diffusion MRI - 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings
On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function
Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning
DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
Cell Segmentation Using Front Vector Flow Guided Active Contours
A Pulsating Coronary Vessel Phantom for Two- and Three-Dimensional Intravascular Ultrasound Studies
Memory-Efficient Learning for High-Dimensional MRI Reconstruction
Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders
Morphology-Based Individual Vertebrae Classification
Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds
Segmentation of Brain MRI in Young Children
GDL-FIRE ^\text 4D : Deep Learning-Based Fast 4D CT Image Registration
Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data
Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning
Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network
Radiomics and Radiogenomics with Deep Learning in Neuro-oncology
Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration
Task-Aware Active Learning for Endoscopic Polyp Segmentation
An Automatic Threshold-Based Scaling Method for Enhancing the Usefulness of Tc-HMPAO SPECT in the Diagnosis of Alzheimer's Disease
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Electrocardiogram Feature Extraction: A Quantitative Comparison of Signal Reconstruction Using Traditional and Autoencoder Methods
UXDiff: Synthesis of X-Ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network
Geometry-Adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders
A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT
Long Bone X-Ray Image Stitching Using Camera Augmented Mobile C-Arm
Plane Assist: The Influence of Haptics on Ultrasound-Based Needle Guidance
Unsupervised Ensemble Strategy for Retinal Vessel Segmentation
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction
Spatio-Temporal Consistency and Negative Label Transfer for 3D Freehand US Segmentation
Think Global, Act Local; Projectome Estimation with BlueMatter
VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation
Multi-level Classification of Emphysema in HRCT Lung Images Using Delegated Classifiers
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
Improved Non-rigid Registration of Prostate MRI
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis
Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications
Generalization of Deformable Registration in Riemannian Sobolev Spaces
MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information
Topological Cycle Graph Attention Network for Brain Functional Connectivity
Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
Enhancing Model Generalisability Through Sampling Diverse and Balanced Retinal Images
Deformable Registration of Bronchoscopic Video Sequences to CT Volumes with Guaranteed Smooth Output
Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection
Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis
Tuberculosis Histopathology on X Ray CT
End-to-End Variational Networks for Accelerated MRI Reconstruction
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction
Region Flow: A Multi-stage Method for Colonoscopy Tracking
DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network
Three Countries, Three Continents: AI Medical Device Regulation and Certification Comparison in the US, EU, and South Korea
Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging
Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI
Contrastive and Attention-Based Multiple Instance Learning for the Prediction of Sentinel Lymph Node Status from Histopathologies of Primary Melanoma Tumours
A Multiscale Cardiac Model for Fast Personalisation and Exploitation
Lightweight Dual-Task Framework for Semi-supervised Lesion Segmentation with Knowledge Distillation from SAM
[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree
Multimodal Image Driven Patient Specific Tumor Growth Modeling
Towards Radar-Driven Speech Therapy: Multimodal Training with Ultrasound, Audio, and Radar for Unimodal Phonetic Segment Classification
Estimation of Organ Motion from 4D CT for 4D Radiation Therapy Planning of Lung Cancer
Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations
Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases
Magneto-Optic Tracking of a Flexible Laparoscopic Ultrasound Transducer for Laparoscope Augmentation
A Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks
FLOOR: Fusing Locally Optimal Registrations
Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images
Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings
Efficient Topological Cleaning for Visual Colon Surface Flattening
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
Detecting Out-of-Phase Ventilation Using 4DCT to Improve Radiation Therapy for Lung Cancer
Feature-Prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation
Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray
MAP MRF Joint Segmentation and Registration
Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning
Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images
UltraWeak: Enhancing Breast Ultrasound Cancer Detection with Deformable DETR and Weak Supervision
Metrics to Quantify Global Consistency in Synthetic Medical Images
Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps
Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm
LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation
Efficient Medical Artificial Intelligence - First International Workshop, EMA4MICCAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model
A Family of Principal Component Analyses for Dealing with Outliers
Resting State fMRI-Guided Fiber Clustering
Wavelet-Driven Decoupling and Physics-Informed Mapping Network for Accelerated Multi-parametric MR Imaging
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery
Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System
Alleviating Data Imbalance Issue with Perturbed Input During Inference
Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging
STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning
PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model
In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation
Quantifying Residual Motion Artifacts in Fetal fMRI Data
Semi-supervised Contrastive Learning for Label-Efficient Medical Image Segmentation
A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus Images
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data
A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology
Automated Calibration for Computerized Analysis of Prostate Lesions Using Pharmacokinetic Magnetic Resonance Images
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model
Brain Tumor Segmentation Using a Multi-path CNN Based Method
StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble
Multi-Rater Calibration Error Estimation
DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation
Detection and Quantification of Line and Sheet Structures in 3-D Images
Direct Surgeon Control of the Computer in the Operating Room
Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching
Multiplicative Jacobian Energy Decomposition Method for Fast Porous Visco-Hyperelastic Soft Tissue Model
Crossing-Lines Registration for Direct Electromagnetic Navigation
Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations
PURE: Panoramic Ultrasound Reconstruction by Seamless Stitching of Volumes
Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming
Lung Lobar Slippage Assessed with the Aid of Image Registration
Colonoscopy Landmark Detection Using Vision Transformers
Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI
CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification
Impact of Combined Preoperative Three-Dimensional Computed Tomography and Intraoperative Real-Time Three-Dimensional Ultrasonography on Liver Surgery
Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction
Efficient Learning by Combining Confidence-Rated Classifiers to Incorporate Unlabeled Medical Data
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies
I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining
Usefulness of Monoenergetic Non-contrast CT and X-Map Images for Deep Learning-Based Stroke Lesion Segmentation
A Location Constrained Dual-Branch Network for Reliable Diagnosis of Jaw Tumors and Cysts
Intra-coronary Stent Localization in Intravascular Ultrasound Sequences, A Preliminary Study
Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant Abuse
Nonrigid Registration of Myocardial Perfusion MRI Using Pseudo Ground Truth
Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks
Improved Correspondence for DTI Population Studies Via Unbiased Atlas Building
Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports
MixUp Brain-Cortical Augmentations in Self-supervised Learning
Ensemble Detection of Colorectal Lesions for CT Colonography
Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma
Intervention & Interaction Federated Abnormality Detection with Noisy Clients
Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report
Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster
A New Method for SPECT Quantification of Targeted Radiotracers Uptake in the Myocardium
Boundary-Assisted Region Proposal Networks for Nucleus Segmentation
Application of L0-Norm Regularization to Epicardial Potential Reconstruction
Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images
Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization
Deformable Registration of Cortical Structures via Hybrid Volumetric and Surface Warping
RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma
Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy
4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration
Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos
Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation
A Linear Program Formulation for the Segmentation of Ciona Membrane Volumes
Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages
Multi-label Transduction for Identifying Disease Comorbidity Patterns
Estimating Mechanical Brain Tissue Properties with Simulation and Registration
Edge-Semantic Synergy Fusion and Adaptive Noise-Aware for Weakly Supervised Pathological Tissue Segmentation
Fused Video and Ultrasound Images for Minimally Invasive Partial Nephrectomy: A Phantom Study
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps
LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation
Automated Segmentation of Skin Lesion Based on Pyramid Attention Network
Extending Genetic Linkage Analysis to Diffusion Tensor Images to Map Single Gene Effects on Brain Fiber Architecture
Dictionary Learning and Time Sparsity in Dynamic MRI
Regurgitation Quantification Using 3D PISA in Volume Echocardiography
Self-supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making
Medical Image Segmentation Based on Mutual Information Maximization
3D Brain Midline Delineation for Hematoma Patients
A Maximum Entropy Deep Reinforcement Learning Neural Tracker
Accuracy of Fully Automatic vs. Manual Planning of Cardiac MR Acquisitions
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
Modeling of the Optical Behavior of Myocardial Fibers in Polarized Light Imaging
Guide2Heart: Proximity Guidance for Standard Echocardiographic View
Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder
Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression
PolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network
Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study
A Method to Correct for Brain Shift When Building Electrophysiological Atlases for Deep Brain Stimulation (DBS) Surgery
INN: Inflated Neural Networks for IPMN Diagnosis
General and Efficient Super-Resolution Method for Multi-slice MRI
Intracranial Aneurysm Detection from 3D Vascular Mesh Models with Ensemble Deep Learning
Space and Time Shape Constrained Deformable Surfaces for 4D Medical Image Segmentation
Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation
Rigid Point-Surface Registration Using an EM Variant of ICP for Computer Guided Oral Implantology
Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-Contrast CT
Multimodal Brain Tumor Segmentation Using 3D Convolutional Networks
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy
Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging
Restoring Connectivity in Vascular Segmentations Using a Learned Post-processing Model
Computer-Aided Hepatic Tumour Ablation
Imaging of 3D Cardiac Electrical Activity: A Model-Based Recovery Framework
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III
Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Temporal Estimation of the 3d Guide-Wire Position Using 2d X-ray Images
ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training
Language-Enhanced Local-Global Aggregation Network for Multi-organ Trauma Detection
Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI
Segmentation Based Features for Lymph Node Detection from 3-D Chest CT
Layered Surface Fluid Simulation for Surgical Training
Multi-task Learning for Left Atrial Segmentation on GE-MRI
Inter-breath-hold Registration for the Production of High Resolution Cardiac MR Volumes
Local White Matter Geometry Indices from Diffusion Tensor Gradients
Model-Driven Harmonic Parameterization of the Cortical Surface
Uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus Autofluorescence
Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions
A Novel Multimodal Deep Learning Fusion Framework for Predicting Neovascular Activity Evolution in Exudative Age-Related Macular Degeneration
Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography
Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis
Robust Estimation of Kinetic Parameters in Dynamic PET Imaging
A Promising Non-invasive CAD System for Kidney Function Assessment
Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling
Segmentation of Ischemic Stroke Lesions in Multi-spectral MR Images Using Weighting Suppressed FCM and Three Phase Level Set
X-RAFT: Cross-Modal Non-rigid Registration of Blue and White Light Neurosurgical Hyperspectral Images
Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model
Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT Images
Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
WeakPolyp: You only Look Bounding Box for Polyp Segmentation
DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging
Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults
A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
Acquisition-Related Limitations in MRI Based Morphometry
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
Knowledge-Guided Pretext Learning for Utero-Placental Interface Detection
Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning
Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study
Automatic Segmentation of Cardiac MRI
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency
Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty
Blind Restoration of High-Resolution Ultrasound Video