yusuke1997/dblp-id-title huggingface dataset:
Learning Crisp Edge Detector Using Logical Refinement Network
Embodied Surgical Intelligence via Digital Twins: Autonomous Trocar Insertion
Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive Ensembling
Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI
Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks
Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images
Self-feedback Transformer: A Multi-label Diagnostic Model for Real-World Pancreatic Neuroendocrine Neoplasms Data
Supervised Nonparametric Image Parcellation
Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction
Volume Reconstruction by Inverse Interpolation: Application to Interleaved MR Motion Correction
Organ Segmentation with Level Sets Using Local Shape and Appearance Priors
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion
Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior
Spatiotemporal Statistical Model of Anatomical Landmarks on a Human Embryonic Brain
RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
Real-Time Segmentation of Trans-urethral Ultrasound Images for Prostate Brachytherapy
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography
EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-distillation
Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma
Automatic Whole Heart Segmentation Using Deep Learning and Shape Context
Detecting Informative Frames from Wireless Capsule Endoscopic Video Using Color and Texture Features
Joint Registration of Multiple Generalized Point Sets
Cryotrack: Planning and Navigation for Computer Assisted Cryoablation
k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging
Precision Radiotherapy for Small Animal Research
A Bayesian Framework for Estimating Respiratory Liver Motion from Sparse Measurements
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
MAdapter: A Better Interaction Between Image and Language for Medical Image Segmentation
A Strain-Energy Model of Passive Knee Kinematics for the Study of Surgical Implantation Strategies
Dynamic Probabilistic Atlas of Functional Brain Regions for Transcranial Magnetic Stimulation
2D Image Registration in CT Images Using Radial Image Descriptors
Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models
XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis
MT-WilmsNet: A Multi-level Transformer Fusion Network for Wilms' Tumor Segmentation and Metastasis Prediction
Improved Esophageal Varices Assessment from Non-contrast CT Scans
Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos
Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding
Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation
Hemodynamic Simulation for an Anatomically Realistic Portal System
Structural-Flow Trajectories for Unravelling 3D Tubular Bundles
Patient Specific Classification of Dental Root Canal and Crown Shape
Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision
Energy-Based Controllable Radiology Report Generation with Medical Knowledge
Real-Time Surgical Simulation Using Reduced Order Finite Element Analysis
Labeling of Multilingual Breast MRI Reports
Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations
Tissue Deformation Recovery with Gaussian Mixture Model Based Structure from Motion
From Colour to Tissue Histology: Physics Based Interpretation of Images of Pigmented Skin Lesions
Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation
Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension
TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries Using Gaussian Splatting
Window-Level Is a Strong Denoising Surrogate
Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration
LaMoD: Latent Motion Diffusion Model for Myocardial Strain Generation
Surface Smoothing: A Way Back in Early Brain Morphogenesis
DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation
Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching
Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation
Deformable Atlas for Multi-structure Segmentation
Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation
Automated Detection of Epileptogenic Cortical Malformations Using Multimodal MRI
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts
Segmentation and Size Measurement of Polyps in CT Colonography
Balanced-MixUp for Highly Imbalanced Medical Image Classification
Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis
Adversarial Learning of Cancer Tissue Representations
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction
Robust Selective Classification of Skin Lesions with Asymmetric Costs
One-Shot Learning for Landmarks Detection
Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgery
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection
LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation
Few-Shot Domain Adaptive Object Detection for Microscopic Images
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network
Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles
Fast Registration by Boundary Sampling and Linear Programming
Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images
Federated Tumor Segmentation with Patch-Wise Deep Learning Model
MRI Image Reconstruction via Learning Optimization Using Neural ODEs
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
An Augmented Reality Framework for Soft Tissue Surgery
Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization
False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning
Multi-modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients
Data Poisoning Attack and Defenses in Connectome-Based Predictive Models
Non-rigid Registration by Geometry-Constrained Diffusion
Renal Cell Carcinoma Classification from Vascular Morphology
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph
Axon Diameter Mapping in Crossing Fibers with Diffusion MRI
ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels
Model-Based Deformable Registration of Preoperative 3D to Intraoperative Low-Resolution 3D and 2D Sequences of MR Images
Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge
Out of Distribution Detection for Intra-operative Functional Imaging
Statistical Analysis of Pharmacokinetic Models in Dynamic Contrast-Enhanced Magnetic Resonance Imaging
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
Automated Training Data Generation for Microscopy Focus Classification
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization
Learning from Partially Annotated OPT Images by Contextual Relevance Ranking
Atlas Stratification
Centreline-Based Shape Descriptors of the Left Atrial Appendage in Relation with Thrombus Formation
Particle-Based Shape Modeling for Arbitrary Regions-of-Interest
A Novel Incremental Technique for Ultrasound to CT Bone Surface Registration Using Unscented Kalman Filtering
Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation
AGAN: An Anatomy Corrector Conditional Generative Adversarial Network
Harmonizing Diffusion MRI Data Across Magnetic Field Strengths
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort
Clinical MRI Based Volumetry: The Cerebral Ventricles
Semi-automatic Brain Tumor Segmentation by Constrained MRFs Using Structural Trajectories
A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information
Dynamic Cardiac MRI Reconstruction via Separate Optimization of K-Space and Hybrid-Domian Spatial-Temporal Feature Fusion
HyperSORT: Self-organising Robust Training with Hyper-networks
Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation
RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence
Vascular Attributes and Malignant Brain Tumors
Coronary Artery Calcification Segmentation by Using Cross-Frequency Conditioner and Geometric Priors Learning
Towards CT Enhanced Ultrasound Guidance for Off-pump Beating Heart Mitral Valve Repair
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging
Detecting Noisy Labels with Repeated Cross-Validations
Patch-Based Techniques in Medical Imaging - Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings
DistNet: Deep Tracking by Displacement Regression: Application to Bacteria Growing in the Mother Machine
A Matching Model Based on Earth Mover's Distance for Tracking Myxococcus Xanthus
Connectivity-Informed fMRI Activation Detection
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors
Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images
A Fast and Automatic Method to Correct Intensity Inhomogeneity in MR Brain Images
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning
Spline-Based Probabilistic Model for Anatomical Landmark Detection
Experimental Validation of a 3D Dynamic Finite-Element Model of a Total Knee Replacement
Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery
Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees
Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning
Online Noninvasive Localization of Accessory Pathways in the EP Lab
Building Shape Models from Lousy Data
Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model
Motion Estimation in 3D Echocardiography Using Smooth Field Registration
A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation
NERO: Explainable Out-of-Distribution Detection with Neuron-Level Relevance in Gastrointestinal Imaging
Spectral Graph Autoregressive Modeling for Conditional Brain Network Augmentation
Optimizing GHT-Based Heart Localization in an Automatic Segmentation Chain
A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images
Sliding Geometries in Deformable Image Registration
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation
Patient-Specific Biomechanical Modeling of Ventricular Enlargement in Hydrocephalus from Longitudinal Magnetic Resonance Imaging
Modulated INR with Prior Embeddings for Ultrasound Imaging Reconstruction
Segmentation Distortion: Quantifying Segmentation Uncertainty Under Domain Shift via the Effects of Anomalous Activations
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data
A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages
Development of Computer-Assisted Radial Head Replacement
Conquering the Retina: Bringing Visual in-Context Learning to OCT
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates
Three-Dimensional Ultrasound Mosaicing
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation
Realistic Data Enrichment for Robust Image Segmentation in Histopathology
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge
Simulations of Needle Insertion by Using a Eulerian Hydrocode FEM and the Experimental Validations
Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation
A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy
Rotation Equivariant CNNs for Digital Pathology
Particle Swarm Optimization for Great Enhancement in Semi-supervised Retinal Vessel Segmentation with Generative Adversarial Networks
MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation
Self-supervised Learning for Spinal MRIs
FunBench: Benchmarking Fundus Reading Skills of MLLMs
Revisiting Contour-Driven and Knowledge-Based Deformable Models: Application to 2D-3D Proximal Femur Reconstruction from X-ray Images
Automated Separation of Binary Overlapping Trees in Low-Contrast Color Retinal Images
A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer's Disease
TrackOR: Towards Personalized Intelligent Operating Rooms Through Robust Tracking
Blood Pool Agent CE-MRA: Improved Arterial Visualization of the Aortoiliac Vasculature in the Steady-State Using First-Pass Data
Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods
Intraoperative Liver Surface Completion with Graph Convolutional VAE
Synthetic Sample Selection via Reinforcement Learning
Bayesian Stroke Lesion Estimation for Automatic Registration of DTI Images
EndoTracker: Robustly Tracking Any Point in Endoscopic Surgical Scene
Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI)
Tensor Controlled Local Structure Enhancement of CT Images for Bone Segmentation
Classifying Phenotypes Based on the Community Structure of Human Brain Networks
Gene-Induced Multimodal Pre-training for Image-Omic Classification
Augmented Reality in the Operating Theatre of the Future
A Method for Tumor Treating Fields Fast Estimation
You Should Use Regression to Detect Cells
Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark
Left Ventricle Segmentation via Graph Cut Distribution Matching
Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning
S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning
Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification
Deep Convolutional Neural Network for Image Quality Assessment and Diabetic Retinopathy Grading
Intensity Compensation within Series of Images
Detection of the Invasion of Bladder Tumor into Adjacent Wall Based on Textural Features Extracted from MRI Images
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Indecisive Trees for Classification and Prediction of Knee Osteoarthritis
Learning-Based Topological Correction for Infant Cortical Surfaces
Computational Methods and Clinical Applications in Musculoskeletal Imaging - 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers
Automatic Bleeding Risk Rating System of Gastric Varices
Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-Branch Multi-scale Attention Network
LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization
Robot-Assisted Image-Guided Targeting for Minimally Invasive Neurosurgery: Planning, Registration, and In-vitro Experiment
Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification
Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression
Live Monitoring of Haemodynamic Changes with Multispectral Image Analysis
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification
Bag-of-Colors for Biomedical Document Image Classification
SIGMA: Auto-Regressive VLM for Automated Radiology Report Generation from Longitudinal 3D CT Volumes
Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising
Conditional Training with Bounding Map for Universal Lesion Detection
Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm
A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology
Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework
Detection of Corpus Callosum Malformations in Pediatric Population Using the Discriminative Direction in Multiple Kernel Learning
A Maximum Likelihood Approach for 2-D to 3-D Registration
Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation
Fast Rigid 2D-2D Multimodal Registration
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis
Longitudinal Analysis of Fetal MRI in Patients with Prenatal Spina Bifida Repair
MRI-Mammography 2D/3D Data Fusion for Breast Pathology Assessment
Parallel Classification of Cells in Thinprep Cytology Test Image for Cervical Cancer Screening
Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
Invertible Network for Classification and Biomarker Selection for ASD
Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling
Differentiable Beamforming for Ultrasound Autofocusing
Investigating Heart Failure Using Ventricular Imaging and Modelling
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Uncertainty-Aware Vision Transformers for Medical Image Analysis
SAMUSA: Segment Anything Model 2 for UltraSound Annotation
Active Volume Models with Probabilistic Object Boundary Prediction Module
Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network
3D Ultrasound-CT Registration in Orthopaedic Trauma Using GMM Registration with Optimized Particle Simulation-Based Data Reduction
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part X
Non-newtonian Blood Flow Analysis for the Portal Vein Based on a CT Image
Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning
Automatic Detection of ECG Abnormalities by Using an Ensemble of Deep Residual Networks with Attention
Estimation of Necrosis Volumes in Focal Liver Lesions Based on Multi-phase Hepatic CT Images
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis
Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis
Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography
Automated Iterative Label Transfer Improves Segmentation of Noisy Cells in Adaptive Optics Retinal Images
GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction
Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification
Cell Lineage Tracing in Lens-Free Microscopy Videos
Prediction of Plantar Shear Stress Distribution by Conditional GAN with Attention Mechanism
Joint PVL Detection and Manual Ability Classification Using Semi-supervised Multi-task Learning
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST
A Computer-Aided Diagnosis System of Nuclear Cataract via Ranking
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes
CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis
Robotic Kidney and Spine Percutaneous Procedures Using a New Laser-Based CT Registration Method
Automatic Classification of Cochlear Implant Electrode Cavity Positioning
Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data