yusuke1997/dblp-id-title huggingface dataset:
Hashing with Residual Networks for Image Retrieval
Towards Realistic Needle Insertion Training Simulator Using Partitioned Model Order Reduction
Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters
Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology
Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
TileDVP: Decoding the Tissue Proteome from H&E Images
Ultrasonic Tracking of a Rapid-Exchange Microcatheter with Simultaneous Pressure Sensing for Cardiovascular Interventions
Anatomical Positional Embeddings
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner
Sparsely Labeled fMRI Data Denoising with Meta-learning-Based Semi-supervised Domain Adaptation
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory
DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
Colorectal Polyp Segmentation Based on Geodesic Active Contours with a Shape-Prior Model
OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-adjustment
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss
Cine-CLIP: Reducing Cine-MRI Dimensionality with Temporal Variability for Left Ventricular Ejection Fraction Estimation
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners
Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images
Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction
The Open Kidney Ultrasound Data Set
SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images
Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States
Nonlinear Diffusion Scale-Space and Fast Marching Level Sets for Segmentation of MR Imagery and Volume Estimation of Stroke Lesions
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features
Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields
Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates
Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers
NISF: Neural Implicit Segmentation Functions
Diffusion as Sound Propagation: Physics-Inspired Model for Ultrasound Image Generation
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches
Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation
Longitudinal Scoliotic Trunk Analysis via Spectral Representation and Statistical Analysis
Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Details
Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
Generating High-Resolution 3D CT with 12-Bit Depth Using a Diffusion Model with Adjacent Slice and Intensity Calibration Network
Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding
Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection
WMH Segmentation Challenge: A Texture-Based Classification Approach
HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEG for Diabetic Foot Ulcer Image Segmentation
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest
Fully Automatic Detection of Distal Radius Fractures from Posteroanterior and Lateral Radiographs
Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis
Deep Learning Based Rib Centerline Extraction and Labeling
XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-Ray Angiography
Precision Freehand Sculpting of Bone
Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies
Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing Modalities
Telesurgery System for Intravascular Neurosurgery
Soft Tissue Discrimination Using Magnetic Resonance Elastography with a New Elastic Level Set Model
Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing
A Maximal Mass Confinement Principle for Rigid and Locally Rigid Image Registration
Leveraging Expert Knowledge for Real-Time Online Adaptation of Intraoperative Liver Registration
abVAE: Attribute-Based Booster Variational Autoencoder for Interpretable Latent Presentation in Optical Coherence Tomography of Glaucomatous Eyes
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints
Segmentation of Medical Images of Different Modalities Using Distance Weighted C-V Model
CataNet: Predicting Remaining Cataract Surgery Duration
Synthesis of Medical Images Using GANs
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping
Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network
Bayesian Model Selection for Pathological Data
Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs
FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis
Robotic Force Stabilization for Beating Heart Intracardiac Surgery
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring
Associations Between Retinal Microvasculature Changes and Gray Matter Volume in a Mid-Life Cohort at Risk of Developing Alzheimer's Disease
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data
Combining Transversal and Longitudinal Registration in IVUS Studies
Structured Model Pruning for Efficient Inference in Computational Pathology
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images
Test-Time Augmentation-Based Active Learning and Self-training for Label-Efficient Segmentation
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI
Reference-Free Axial Super-Resolution of 3D Microscopy Images Using Implicit Neural Representation with a 2D Diffusion Prior
Automatic in Vivo Cell Detection in MRI
A Monte Carlo Framework for Low Dose CT Reconstruction Testing
Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations
Computer-Aided Assessment of Anomalies in the Scoliotic Spine in 3-D MRI Images
Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation
A Modular Surgical Robotic System for Image Guided Percutaneous Procedures
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach
Semi- and Self-supervised Multi-view Fusion of 3D Microscopy Images Using Generative Adversarial Networks
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation
Non-rigid Free-Form 2D-3D Registration Using Statistical Deformation Model
Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance Imaging
Kernel-Regularized ICA for Computing Functional Topography from Resting-State fMRI
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans
Real-Time Surgical Keypoint Detection in Laparoscopic Cholecystectomy
To Learn or Not to Learn Features for Deformable Registration?
Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures
Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation
Intraoperative CT Augmentation for Needle-Based Liver Interventions
Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation
Unsupervised Learning-Based Nonrigid Registration of High Resolution Histology Images
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy
Unleashing the Power of LLMs for Medical Video Answer Localization
FASSt: Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography
Joint Segmentation and Sub-pixel Localization in Structured Light Laryngoscopy
Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning
Single Shot Needle Tip Localization in 2D Ultrasound
Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification
Design and Validation of an Image-Guided Robot for Small Animal Research
Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure
Abdominal Multi-organ Segmentation Using CNN and Transformer
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect
Region Segmentation Using Information Divergence Measures
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
Mobile C-arm 3D Reconstruction in the Presence of Uncertain Geometry
Cartan Frame Analysis of Hearts with Infarcts
Development of a Computer Program for Volume Estimation of Arteriovenous Malformations from Biplane DSA Images
Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis
Synapse-Aware Skeleton Generation for Neural Circuits
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis
HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift
3D Velocity Field and Flow Profile Reconstruction from Arbitrarily Sampled Doppler Ultrasound Data
Captioning Ultrasound Images Automatically
Test-Retest Reliability of Graph Theory Measures of Structural Brain Connectivity
Pitfalls of Conformal Predictions for Medical Image Classification
A Novel Nonrigid Registration Algorithm and Applications
Automatic Lung Tumor Segmentation with Leaks Removal in Follow-up CT Studies
Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning
UX-CNet: Effective Edge Information Acquisition for Teeth Image Segmentation
A Novel Explicit 2D+t Cyclic Shape Model Applied to Echocardiography
Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning
From Pixels to Prognosis: A Multi-modal Attention-Based Framework for Visceral Adipose Tissue Estimation
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration
COSMO - Coupled Shape Model for Radiation Therapy Planning of Head and Neck Cancer
Landmark-Guided Rigid Registration for Temporomandibular Joint MRI-CBCT Images with Large Field-of-View Difference
Acceleration by Deep-Learnt Sharing of Superfluous Information in Multi-contrast MRI
Smarter Self-distillation: Optimizing the Teacher for Surgical Video Applications
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
Relative Performance of Geometric Search Algorithms for Interpolating Unstructured Mesh Data
PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models
Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation
Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging
An SVD-Bypass Latent Semantic Analysis for Image Retrieval
Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing
Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks
LGE Scar Quantification Using Foundation Models for Cardiac Disease Classification
Training Medical Image Analysis Systems like Radiologists
Learning to Rank from Medical Imaging Data
A Prospective Evaluation of Computer-Assisted Deep Brain Stimulation Trajectory Planning
Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-Guided Supervision and Station-Aware Mixture-of-Experts
Fully Automatic Teeth Segmentation in Adult OPG Images
Deep Convolutional Networks for Automated Detection of Epileptogenic Brain Malformations
A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations
A New Method for the Registration of Cardiac PET and MR Images Using Deformable Model Based Segmentation of the Main Thorax Structures
TreeNet: Multi-loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees
A Bayesian Model to Assess T_2 Values and Their Changes Over Time in Quantitative MRI
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction
Spatial Motion Constraints for Robot Assisted Suturing Using Virtual Fixtures
Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE)
Gibbs Prior Models, Marching Cubes, and Deformable Models: A Hybrid Framework for 3D Medical Image Segmentation
Complete Fetal Head Compounding from Multi-view 3D Ultrasound
Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer
Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery
Cadaver Validation of Intensity-Based Ultrasound to CT Registration
Automated Patient-Specific Pneumoperitoneum Model Reconstruction for Surgical Navigation Systems in Distal Gastrectomy
Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
Simulation of Patient-Specific Deformable Ultrasound Imaging in Real Time
Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification
Surface-Based Parcellation and Vertex-wise Analysis of Ultra High-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias
Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation
Detection and Localization of Drosophila Egg Chambers in Microscopy Images
Simultaneous Denoising and Registration for Accurate Cardiac Diffusion Tensor Reconstruction from MRI
Evaluation of Uncertainty-Aware Multi-software Ensembles for Hippocampal Segmentation
Medical Image Synthesis via Monte Carlo Simulation
Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer's Disease Classification
Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling
Fast 3D Spine Reconstruction of Postoperative Patients Using a Multilevel Statistical Model
CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law
Diffusion Tensor Field Registration in the Presence of Uncertainty
Self-supervised Visual Representation Learning for Histopathological Images
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI
Delving Into Out-of-Distribution Detection with Medical Vision-Language Models
Few-Shot Adaptation of Medical Vision-Language Models
Automated Assessment of Surgical Skills Using Frequency Analysis
A Modified Fuzzy C-Means Algorithm for MRI Bias Field Estimation and Adaptive Segmentation
Pre-training with Diffusion Models for Dental Radiography Segmentation
DiffusionXRay: A Diffusion and GAN-Based Approach for Enhancing Digitally Reconstructed Chest Radiographs
Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy
Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiography
Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures
Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss
Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images
Bayesian Analysis of fMRI Data with ICA Based Spatial Prior
LLM-Guided Multi-modal Multiple Instance Learning for 5-Year Overall Survival Prediction of Lung Cancer
More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring
Self-supervised Discovery of Anatomical Shape Landmarks
Using the Anisotropic Laplace Equation to Compute Cortical Thickness
Physics Informed Neural Networks for Estimation of Tissue Properties from Multi-echo Configuration State MRI
Neural Denoising of Ultra-low Dose Mammography
Multimodality Deformable Registration of Pre- and Intraoperative Images for MRI-guided Brain Surgery
Ablate Them All: A Trajectory Planning for Concurrent Percutaneous Ablation of Multiple Tumors
Functional Analysis of the Vertebral Column Based on MR and Direct Volume Rendering
Subject-Specific Biomechanical Simulation of Brain Indentation Using a Meshless Method
Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy
Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla
Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images
Area Preserving Cortex Unfolding
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery
TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection
Automatic 8-Tissue Segmentation for 6-Month Infant Brains
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans
Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images
MR Navigated Breast Surgery: Method and Initial Clinical Experience
CAT-ViL: Co-attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
From Transthoracic to Transesophageal: Cross-Modality Generation Using LoRA Diffusion
A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature
Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach
Use of a Mixed-Reality System to Improve the Planning of Brain Tumour Resections: Preliminary Results
High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion
From Local to Global Random Regression Forests: Exploring Anatomical Landmark Localization
Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images
A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
Conformal Forecasting for Surgical Instrument Trajectory
Dynamic Shape Instantiation for Intra-operative Guidance
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
Patient-Specific Simulation of Internal Defibrillation
Towards Robust Retinal Vessel Segmentation via Reducing Open-Set Label Noises from SAM-Generated Masks
Multiple Meta-model Quantifying for Medical Visual Question Answering
Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions
Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation
Data-Driven Rank Aggregation with Application to Grand Challenges
Precise Evaluation of Positioning Repeatability of MR-Compatible Manipulator Inside MRI
Denoising of 3D MR Images Using a Voxel-Wise Hybrid Residual MLP-CNN Model to Improve Small Lesion Diagnostic Confidence
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories
The Putamen Intensity Gradient in CJD Diagnosis
Modular Transformer-Based Monitoring and Prediction of Wet AMD Progression Using OCT Imaging
DeepCS: Deep Convolutional Neural Network and SVM Based Single Image Super-Resolution
DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field
Stepwise Feature Fusion: Local Guides Global
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach
A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold Learning
Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning
Generating Artificial Artifacts for Motion Artifact Detection in Chest CT
Bias-Resilient Feature Learning for Robust Domain Adaptation in Mammography
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI
Improved Statistical TRE Model When Using a Reference Frame
Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation
Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization
Retina Mosaicing Using Local Features
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
Factor Space and Spectrum for Medical Hyperspectral Image Segmentation
StyleGAN-Based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap
Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views
Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models
Detection of Basal Cell Carcinoma in Whole Slide Images