yusuke1997/dblp-id-title huggingface dataset:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
A Spatio-temporal Analysis of Contrast Ultrasound Image Sequences for Assessment of Tissue Perfusion
Optimal Targeting Visualizations for Surgical Navigation of Iliosacral Screws
3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes
Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data
ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy
Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features
Spline Refinement with Differentiable Rendering
Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones
Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling
Secure Medical Digital Twins: A Use-Case Driven Approach
Contact Force Evaluation of Orthoses for the Treatment of Malformed Ears
VertNet: Accurate Vertebra Localization and Identification Network from CT Images
Patch-Based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques
Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT Studies
Comparing Simultaneous Multi-slice Diffusion Acquisitions
Multi-masked Querying Network for Robust Emotion Recognition from Incomplete Multi-modal Physiological Signals
Hot Spots Conjecture and Its Application to Modeling Tubular Structures
Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage
Automatic Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Images
Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design
MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour
Model Completion via Deformation Cloning Based on an Explicit Global Deformation Model
Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy
Federated and Continual Learning of AI Models from Routine Clinical Data Under Privacy Constraints
Optimal Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture
Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound
KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients
Overall Proficiency Assessment in Point-of-Care Ultrasound Interventions: The Stopwatch is not Enough
Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis
A Comprehensive System for Intraoperative 3D Brain Deformation Recovery
Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation
Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration
Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision
Robotic Hair Harvesting System: A New Proposal
Computer-Assisted Correction of Bone Deformities Using A 6-DOF Parallel Spatial Mechanism
GoCa: Trustworthy Multi-modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs
Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability
PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation
Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning
Recruiting the Best Teacher Modality: A Customized Knowledge Distillation Method for if Based Nephropathy Diagnosis
Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms
Patient-Adaptive Lesion Metabolism Analysis by Dynamic PET Images
A Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024
Modeling Adaptation Effects in fMRI Analysis
Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation
Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation
Registering Liver Pathological Images with Prior In Vivo CT/MRI Data
Predicting Preterm Birth Using Multimodal Fetal Imaging
Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
3D Analysis of the Alignment of the Lower Extremity in High Tibial Osteotomy
Automatic Boundary Evolution Tracking via a Combined Level Set Method and Mesh Warping Technique: Application to Hydrocephalus
3D Graph-S 2 Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution
STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-Body PET/CT Imaging via Contrastive Learning
Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains
TER: A System for Robotic Tele-echography
Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
A New Method for Spherical Object Detection and Its Application to Computer Aided Detection of Pulmonary Nodules in CT Images
Patient-Specific Mitral Leaflet Segmentation from 4D Ultrasound
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map
Data-Driven Deep Supervision for Skin Lesion Classification
ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA
3D Cardiac Anatomy Reconstruction Using High Resolution CT Data
Ultrasound Image-Guided Mapping of Endoscopic Views on a 3D Placenta Model: A Tracker-Less Approach
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation
Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images
Labeling the Brain Surface Using a Deformable Multiresolution Mesh
Performance Metrics for Probabilistic Ordinal Classifiers
Automated Mapping of Residual Distortion Severity in Diffusion MRI
Quantitative Three Dimensional Echocardiography: Methodology, Validation, and Clinical Applications
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data
Linear Time Invariant Model Based Motion Correction (LiMo-MoCo) of Dynamic Radial Contrast Enhanced MRI
Sparse DSI: Learning DSI Structure for Denoising and Fast Imaging
Robust Noisy Pseudo-Label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model
Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters
Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation
Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models
Accurate and Robust Segmentation of the Clinical Target Volume for Prostate Brachytherapy
Topology of Surface Displacement Shape Feature in Subcortical Structures
SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos
Temporally Stable Monocular Depth Estimation in Surgical Vision
Counterfactual Contrastive Learning: Robust Representations via Causal Image Synthesis
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
Multimodal Multitask Deep Learning for X-Ray Image Retrieval
Coral-CVDs: A Consistent Ordinal Regression Model for Cardiovascular Diseases Grading
Referenceless Stratification of Parenchymal Lung Abnormalities
Abdominal Imaging. Computational and Clinical Applications, 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014
3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules
Automatic Intra-operative Generation of Geometric Left Atrium/Pulmonary Vein Models from Rotational X-Ray Angiography
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III
LOMIA-T: A Transformer-Based LOngitudinal Medical Image Analysis Framework for Predicting Treatment Response of Esophageal Cancer
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding
Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases
An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis
Voxelwise Spectral Diffusional Connectivity and Its Applications to Alzheimer's Disease and Intelligence Prediction
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
Semi-supervised Learning of Nonrigid Deformations for Image Registration
Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII
Contrastive Rendering for Ultrasound Image Segmentation
Physically-Based Validation of Deformable Medical Image Registration
OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation
Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection
AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis
Self-supervised Pretraining and Multi-label Decoding for Intracranial Hemorrhage Segmentation
Cascaded nnU-Net for Kidney and Kidney Tumor Segmentation
Ranking-Based Survival Prediction on Histopathological Whole-Slide Images
MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching
Groupwise Segmentation Improves Neuroimaging Classification Accuracy
Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation
Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound
Atlas-Based Segmentation of the Germinal Matrix from in Utero Clinical MRI of the Fetal Brain
Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks
Uncertainty-Aware Multi-expert Knowledge Distillation for Imbalanced Disease Grading
An Approach to Predict Multiple Cardiac Diseases
Computer-Aided Detection of Small Bowel Strictures for Emergency Radiology in CT Enterography
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images
Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning
A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation
Deep Recurrent Partial Fourier Reconstruction in Diffusion MRI
Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior
3D ST-Net: A Large Kernel Simple Transformer for Brain Tumor Segmentation
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
SAMASK-CLTR: A Spatial-Aware Mask Guided Learning Model for Benign and Malignant Tumor Classification in ABUS
Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression
Manual Annotation, 3-D Shape Reconstruction, and Traumatic Brain Injury Analysis
Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI
A Robust Outlier Elimination Approach for Multimodal Retina Image Registration
Deep Voxel-Guided Morphometry (VGM): Learning Regional Brain Changes in Serial MRI
Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images
Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Early Experiences with Crowdsourcing Airway Annotations in Chest CT
Investigating Gender Bias in Lymph-Node Segmentation with Anatomical Priors
Development and Application of Functional Databases for Planning Deep-Brain Neurosurgical Procedures
CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation
A Novel Two-Stage Approach for 3D Dental Tooth Instance Segmentation
Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images
A Multiscale Filtering-Based Parameter Estimation Method for Patient-Specific Coarctation Simulations in Rest and Exercise
Vector-Quantization-Driven Active Learning for Efficient Multi-modal Medical Segmentation with Cross-Modal Assistance
Automated Identification and B-spline Approximation of a Profiling Coil Centerline from Magnetic Resonance Images
Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change
TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation
Understanding Silent Failures in Medical Image Classification
Automated Detection of Colorectal Lesions in Non-cathartic CT Colonography
Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion
A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans
MFG Sampling: Solving Inverse Problems in Multi-level High-Frequency Guidance via Diffusion Models
Concept-Centric Visual Turing Tests for Method Validation
A Deep Regression Model for Seed Localization in Prostate Brachytherapy
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography
Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography
UASSR: Unsupervised Arbitrary Scale Super-Resolution Reconstruction of Single Anisotropic 3D Images via Disentangled Representation Learning
Towards the Automatization of Cranial Implant Design in Cranioplasty II - Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery
Development of an MRI-Compatible Device for Prostate Focal Therapy
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma
Anatomical Landmark Detection for Initializing US and MR Image Registration
A Deep Prior Approach to Magnetic Particle Imaging
Exploring Graphs as Data Representation for Disease Classification in Ophthalmology
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images
Group-Wise Graph Matching of Cortical Gyral Hinges
MOrphologically-Aware Jaccard-Based ITerative Optimization (MOJITO) for Consensus Segmentation
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification
TGSAM-2: Text-Guided Medical Image Segmentation Using Segment Anything Model 2
Optree: A Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation
fTSPL: Enhancing Brain Analysis with FMRI-Text Synergistic Prompt Learning
Patch-Based Discrete Registration of Clinical Brain Images
Fast Fully-Automatic Cardiac Segmentation in MRI Using MRF Model Optimization, Substructures Tracking and B-Spline Smoothing
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare
AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis
Rigid and Deformable Vasculature-to-Image Registration: A Hierarchical Approach
A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging
Landmark-Driven, Atlas-Based Segmentation of Mouse Brain Tissue Images Containing Gene Expression Data
Hierarchical Diffusion Framework for Pseudo-healthy Brain MRI Inpainting with Enhanced 3D Consistency
GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models
WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI
Evaluation on Similarity Measures of a Surface-to-Image Registration Technique for Ultrasound Images
Multi-center, Multi-vendor, and Multi-disease Cardiac Image Segmentation Using Scale-Independent Multi-gate UNET
Large-Scale Left and Right Eye Classification in Retinal Images
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation
Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
DnFPlane for Efficient and High-Quality 4D Reconstruction of Deformable Tissues
Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification
Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation
Exploiting Partial Structural Symmetry for Patient-Specific Image Augmentation in Trauma Interventions
MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation
Quantitative Evaluation of Statistical Inference in Resting State Functional MRI
Comparison of Different Targeting Methods for Subthalamic Nucleus Deep Brain Stimulation
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution
Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features
Determining Functional Units of Tongue Motion via Graph-Regularized Sparse Non-negative Matrix Factorization
Localization of Abnormal Conduction Pathways for Tachyarrhythmia Treatment Using Tagged MRI
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
Instructive Feature Enhancement for Dichotomous Medical Image Segmentation
pq-Space Based 2D/3D Registration for Endoscope Tracking
Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease
Hybrid Tracking for Improved Registration of Laparoscopic Ultrasound and Laparoscopic Video for Augmented Reality
Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
Synthesising Images and Labels Between MR Sequence Types with CycleGAN
Endoscopic Video Manifolds
Computer-Based Quantitative Assessment of Skull Morphology for Craniosynostosis
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network
Identifying Gender-Specific Visual Bias Signals in Skin Lesion Classification
Some Hidden Traps of Confidence Intervals in Medical Image Segmentation: Coverage Issues
Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models
Gyral Folding Pattern Analysis via Surface Profiling
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer
Epileptic Seizure Detection in SEEG Signals Using a Unified Multi-Scale Temporal-Spatial-Spectral Transformer Model
Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms
Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning
Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI
Applications of Medical Artificial Intelligence - Third International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis
3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification
Online Atlasing Using an Iterative Centroid
Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer
A Volumetric Optical Flow Method for Measurement of Brain Deformation from Intraoperative Magnetic Resonance Images
Color Rapid Prototyping for Diffusion-Tensor MRI Visualization
Federated Multi-organ Dynamic Attention Segmentation Network with Small CT Dataset
Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models
Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm
Pulse Sequence Resilient Fast Brain Segmentation
Graph Neural Network for Interpreting Task-fMRI Biomarkers
Learning Conditional Deformable Shape Templates for Brain Anatomy
Masked Registration and Autoencoding of CT Images for Predictive Tibia Reconstruction
Anatomical Graph-Based Multilevel Distillation for Robust Alzheimer's Disease Diagnosis with Missing Modalities