yusuke1997/dblp-id-title huggingface dataset:
Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape
A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure
Real-Time Feature Matching for the Accurate Recovery of Augmented-Reality Display in Laparoscopic Videos
Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization
Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
Privacy Protection in MRI Scans Using 3D Masked Autoencoders
Anatomical Feature-Guided Mutual Information Registration of Multimodal Prostate MRI
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis
A Newly Developed Stereotactic Robot with Detachable Drive for Neurosurgery
COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
Correction of Movement Artifacts from 4-D Cardiac Short and Long-Axis MR Data
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels
MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models
MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction
New Algorithms to Map Asymmetries of 3D Surfaces
Clinically-Guided Data Synthesis for Laryngeal Lesion Detection
A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions
Automatic Perfusion Analysis Using Phase-Based Registration and Object-Based Image Analysis
MRI Reconstruction with Conditional Adversarial Transformers
Overview of the Trauma THOMPSON Challenge at MICCAI 2023
Extended Multi-resolution Local Patterns - A Discriminative Feature Learning Approach for Colonoscopy Image Classification
A Model Based Approach for Multi-lead ECG Array Layout Selection
Segmentation-Guided MRI Reconstruction for Meaningfully Diverse Reconstructions
Boundary-Aware Transformers for Skin Lesion Segmentation
Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy
Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices
Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching
MesoFT: Unifying Diffusion Modelling and Fiber Tracking
Pancreas Part Segmentation Under Federated Learning Paradigm
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs
Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
Robust Unsupervised Image to Template Registration Without Image Similarity Loss
Automatic Infant Respiration Estimation from Video: A Deep Flow-Based Algorithm and a Novel Public Benchmark
POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields
Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network
Bridging the Gap: A Community Driven and AI-Enabled Approach to Early Breast Cancer Detection in Black African Women
Geometric-Feature-Based Spectral Graph Matching in Pharyngeal Surface Registration
Image-Based Prediction of Retinal Disease Progression - MICCAI Challenges, DIAMOND 2024 and MARIO 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Patient Specific 4D Coronary Models from ECG-gated CTA Data for Intra-operative Dynamic Alignment of CTA with X-ray Images
Cell-Sensitive Microscopy Imaging for Cell Image Segmentation
Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification
Reconstruction of Scattered Data in Fetal Diffusion MRI
Predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework
Evaluation of Fast 2D and 3D Medical Image Retrieval Approaches Based on Image Miniatures
MRI Compatible Modular Designed Robot for Interventional Navigation - Prototype Development and Evaluation
Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography
Vertebral Shape: Automatic Measurement with Dynamically Sequenced Active Appearance Models
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
Multiresolution Parametric Estimation of Transparent Motions and Denoising of Fluoroscopic Images
Semi-automatic Crohn's Disease Severity Estimation on MR Imaging
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation
Generalized Image Models and Their Application as Statistical Models of Images
Non-rigid Registration of Retinal OCT Images Using Conditional Correlation Ratio
Facilitating 3D Spectroscopic Imaging through Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized via Boosted Classifiers
Kinetic Modeling Based Probabilistic Segmentation for Molecular Images
Guiding Automatic Segmentation with Multiple Manual Segmentations
A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds
Automatic Labelling of Tumourous Frames in Free-Hand Laparoscopic Ultrasound Video
Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty
Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images
Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information
DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation Learning
A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement
Global Planar Convolutions for Improved Context Aggregation in Brain Tumor Segmentation
Iterative Deep Retinal Topology Extraction
Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography
Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps
MedPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis
Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography
Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction
Effects of Healthy Aging Measured By Intracranial Compartment Volumes Using a Designed MR Brain Database
A Personalized Biomechanical Model for Respiratory Motion Prediction
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification
Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models
Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study
Graph Hyperalignment for Multi-subject fMRI Functional Alignment
Semantic Scene Editing for Cholecystectomy Surgery
White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning
Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction
Spiking MU-Net: Toward Low-Power and Efficient Microscopic Image Segmentation
Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data
Automated Biometry for Assessing Cephalopelvic Disproportion in 3D 0.55T Fetal MRI at Term
Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes
Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans
Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
NeuroXVocal: Detection and Explanation of Alzheimer's Disease Through Non-Invasive Analysis of Picture-Prompted Speech
Deep Residual Learning for Instrument Segmentation in Robotic Surgery
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation
Localisation of Subdural EEG Electrode Bundles in an Interactive Volume Rendering Framework
SplitFed Resilience to Packet Loss: Where to Split, that is the Question
Surgical Workflow Anticipation Using Instrument Interaction
TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net
Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies
A Hybrid 1D and 3D Approach to Hemodynamics Modelling for a Patient-Specific Cerebral Vasculature and Aneurysm
Pico Lantern: A Pick-up Projector for Augmented Reality in Laparoscopic Surgery
Privacy-Preserving Early Detection of Epileptic Seizures in Videos
Cortical Surface Strain Estimation Using Stereovision
Instance-Aware Self-supervised Learning for Nuclei Segmentation
Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones from Bi-planar X-Ray Images
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework
Eye-Gaze Driven Surgical Workflow Segmentation
Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models
Generator Versus Segmentor: Pseudo-healthy Synthesis
MVMIL: Multi-view Multiple Instance Learning for Whole Slide Image Classification of Bladder Cancer
Model-Guided Extraction of Coronary Vessel Structures in 2D X-Ray Angiograms
Exploring Patient Data Requirements in Training Effective AI Models for MRI-Based Breast Cancer Classification
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
Exploiting 2-D to 3-D Intra-operative Image Registration for Qualitative Evaluations and Post-operative Simulations
Automated Parcellation of the Cortex Using Structural Connectome Harmonics
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN
Automated Assessment of Renal Calculi in Serial Computed Tomography Scans
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes
Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation Under Shift
Realistic Head Model Design and 3D Brain Imaging of NIRS Signals Using Audio Stimuli on Preterm Neonates for Intra-Ventricular Hemorrhage Diagnosis
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Weight Averaging Impact on the Uncertainty of Retinal Artery-Venous Segmentation
Automated Segmentation of Surgical Motion for Performance Analysis and Feedback
Characterizing the Regional Structural Difference of the Brain between Tau Transgenic (rTg4510) and Wild-Type Mice Using MRI
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network
Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients
Fiducial-Free Registration Procedure for Navigated Bronchoscopy
Robust 3D Segmentation of Anatomical Structures with Level Sets
Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation
Comparing Left Atrial Spontaneous Echo Contrast Intensity with Gaussian Process Emulator Predictions
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Dominant Component Analysis of Electrophysiological Connectivity Networks
Toward a Flexible and Portable CT Scanner
Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
Automatic Whole Heart Segmentation in CT Images Based on Multi-atlas Image Registration
Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks
Simplifying Medical Ultrasound - Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Dynamic Measurements of Soft Tissue Viscoelastic Properties with a Torsional Resonator Device
BrainWaveNet: Wavelet-Based Transformer for Autism Spectrum Disorder Diagnosis
Reconstructing the Hemodynamic Response Function via a Bimodal Transformer
Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images
Automatic 3D Atrial Segmentation from GE-MRIs Using Volumetric Fully Convolutional Networks
Fully Automated CTC Detection, Segmentation and Classification for Multi-channel IF Imaging
TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography
Swin Transformer Based Bidirectional Feature Pyramid Network for Knee Osteoarthritis Severity Grading
Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development
Multimodal Sensing Guidewire for C-Arm Navigation with Random UV Enhanced Optical Sensors Using Spatio-Temporal Networks
Dual-Model Automatic Detection of Nerve-Fibres in Corneal Confocal Microscopy Images
Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases
Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework
NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-Subject Consistency Objectives
A Wide-Angle View Endoscope System Using Wedge Prisms
Automatic Quality Control for Population Imaging: A Generic Unsupervised Approach
Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings
All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
Virtual Pneumoperitoneum for Generating Virtual Laparoscopic Views Based on Volumetric Deformation
UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model
Stabilization of Image Motion for Robotic Assisted Beating Heart Surgery
Dual Tensor Atlas Generation Based on a Cohort of Coregistered non-HARDI Datasets
Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy
Efficient Biomedical Instance Segmentation via Knowledge Distillation
Learned Super Resolution Ultrasound for Improved Breast Lesion Characterization
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI
Best (and Worst) Practices for Organizing a Challenge on Cardiac Biophysical Models During AI Summer: The CRT-EPiggy19 Challenge
Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline
Towards Explainable Automated Neuroanatomy
Multimodal Deep Learning for Cervical Dysplasia Diagnosis
Real-Time 3D Ultrasound Guided Interventional System for Cardiac Stem Cell Therapy with Motion Compensation
Simulating Neurodegeneration through Longitudinal Population Analysis of Structural and Diffusion Weighted MRI Data
Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely
Image Data Validation for Medical Systems
Text-Driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
A Novel Domain Adaptation Framework for Medical Image Segmentation
Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
Data Engineering in Medical Imaging - Third MICCAI Workshop, DEMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction
Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI
Toward Accurate and Robust 2-D/3-D Registration of Implant Models to Single-Plane Fluoroscopy
Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases
Weakly-Supervised Lesion-Aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-Widefield Images
A Generic Probabilistic Active Shape Model for Organ Segmentation
Latent Causal Modeling for 3D Brain MRI Counterfactuals
Colon Flattening by Landmark-Driven Optimal Quasiconformal Mapping
Multimodal Representation Learning via Maximization of Local Mutual Information
Towards Generating Personalized Volumetric Phantom from Patient's Surface Geometry
Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation
Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features
Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentation
LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework
AReg IOS: Automatic Registration on IntraOralScans
Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model
Context Aware 3D Fully Convolutional Networks for Coronary Artery Segmentation
Validation Methods for Soft Tissue Prediction in Maxillofacial Planning Environments
FedSlowdown: Efficiency Attacks Against Federated Learning of Adaptive Neural Networks
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations
Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification
Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Feasibility of Patient Specific Aortic Blood Flow CFD Simulation
mulEEG: A Multi-view Representation Learning on EEG Signals
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-parametric Classifier
Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke
Automated Registration of Ultrasound with CT Images: Application to Computer Assisted Prostate Radiotherapy and Orthopedics
Tracked Regularized Ultrasound Elastography for Targeting Breast Radiotherapy
Synthesizing Multi-tracer PET Images for Alzheimer's Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network
Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental Surgery
An Inverse Kinematics Model For Post-operative Knee
Non-rigid Image Registration Using Graph-cuts
X-ray Synthesis Based on Triangular Mesh Models Using GPU-Accelerated Ray Tracing for Multi-modal Breast Image Registration
Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis
Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs
Diffusion-Based Domain Adaptation for Medical Image Segmentation Using Stochastic Step Alignment
Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM?
Dynamic Cone Beam Reconstruction Using a New Level Set Formulation
Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis
Equivariant Filters for Efficient Tracking in 3D Imaging
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography
VesselGPT: Autoregressive Modeling of Vascular Geometry
An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images
Prospective Head Motion Compensation for MRI by Updating the Gradients and Radio Frequency During Data Acquisition
Automated Nomenclature Labeling of the Bronchial Tree in 3D-CT Lung Images
Early CHD Detection from Retinal Fundus Scans Using a Spatial Context-Aware Hierarchical Attention Framework
Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks
Deep-Learning-Based Estimation of 3D Optic-Nerve-Head Shape from 2D Color Fundus Photographs in Cases of Optic Disc Swelling
GRASP-PsONet: Gradient-Based Removal of Spurious Patterns for PsOriasis Severity Classification
MedDiff-FT: Data-Efficient Diffusion Model Fine-Tuning with Structural Guidance for Controllable Medical Image Synthesis
Localization of the Lumbar Discs Using Machine Learning and Exact Probabilistic Inference
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom
A Transurethral Prostate Resection Manipulator for Minimal Damage to Mucous Membrane
Topographic Filtering of Tractograms as Vector Field Flows
Spatio-Temporal Motion Correction and Iterative Reconstruction of In-Utero Fetal fMRI
Automated Planning of Scan Geometries in Spine MRI Scans
Automatic Planning of the Acquisition of Cardiac MR Images
Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes
Tagged Volume Rendering of the Heart
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Spatio-Temporal Neural Distance Fields for Conditional Generative Modeling of the Heart
PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping
ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from Cine CMR with Improved Accuracy and Efficiency
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation
Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting