yusuke1997/dblp-id-title huggingface dataset:
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings
High-Resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning
Embedding Segmented Volume in Finite Element Mesh with Topology Preservation
Fast Multi-contrast MRI Reconstruction
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
Adversarial Image Registration with Application for MR and TRUS Image Fusion
Regional Manifold Learning for Deformable Registration of Brain MR Images
Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query
Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
Finding a Non-continuous Tube by Fuzzy Inference for Segmenting the MR Cholangiography Inage
Multi-view Classification for Identification of Alzheimer's Disease
Multimodal Recurrent Model with Attention for Automated Radiology Report Generation
Weakly Supervised Online Action Detection for Infant General Movements
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities
Online Target Volume Estimation and Prediction from an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach
Rigid Motion Compensation in Interventional C-arm CT Using Consistency Measure on Projection Data
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning
DuoDent: Tooth Generation Using Dual-Stream Diffusion with Normal Consistency
Semi-supervised Organ Segmentation with Mask Propagation Refinement and Uncertainty Estimation for Data Generation
Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph
Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification
Brain Connectivity Hyper-Network for MCI Classification
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction
Analysis of Transferability Estimation Metrics for Surgical Phase Recognition
Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images
Multi-DOF Forceps Manipulator System for Laparoscopic Surgery
Principal Component Regression Predicts Functional Responses across Individuals
Optimal Transseptal Puncture Location for Robot-Assisted Left Atrial Catheter Ablation
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models
Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations
MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care
Eikonal Model Personalisation Using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response
Automatic Identification Method for Diabetic Macular Edema in Ultra-widefield Fundus Images
Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks
Endoscopic Sheffield Index for Unsupervised In Vivo Spectral Band Selection
Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency
A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures
Semantic-Aware Registration with Weakly-Supervised Learning
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Gradient Boosted Trees for Corrective Learning
Robust Learning-Based Annotation of Medical Radiographs
Multi-criteria Trajectory Planning for Hepatic Radiofrequency Ablation
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part II
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
Predictive Modeling of Cardiac Fiber Orientation Using the Knutsson Mapping
Active Appearance Model Induced Generative Adversarial Network for Controlled Data Augmentation
SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency
Accuracy Estimation for Medical Image Registration Using Regression Forests
SFusion: Self-attention Based N-to-One Multimodal Fusion Block
Establishing Local Correspondences towards Compact Representations of Anatomical Structures
Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy
Zero-Shot Monocular Metric Depth for Endoscopic Images
Atlas-Based Transfer of Boundary Conditions for Biomechanical Simulation
Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training
CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation
Synthetic Augmentation and Feature-Based Filtering for Improved Cervical Histopathology Image Classification
Towards Multiple Instance Learning and Hermann Weyl's Discrepancy for Robust Image-Guided Bronchoscopic Intervention
Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning
Automatic Deep Deformable Registration Using Domain Adaptation and Run-Time Optimisation
Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics
Magneto-Optic Hybrid 3-D Sensor for Surgical Navigation
CARL: Cross-Aligned Representation Learning for Multi-view Lung Cancer Histology Classification
LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images
Foundation-Model-Boosted Multimodal Learning for fMRI-Based Neuropathic Pain Drug Response Prediction
One Click Lesion RECIST Measurement and Segmentation on CT Scans
Computer Aided Diagnosis for Virtual Colonography
Grey-Level Morphology Based Segmentation of T1-MRI of the Human Cortex
Motion Tracking and Strain Map Computation for Quasi-Static Magnetic Resonance Elastography
Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models
Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound
Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations
Multi-scale Nodule Detection in Chest Radiographs
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays
Investigation of Training Multiple Instance Learning Networks with Instance Sampling
A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration
Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound
Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance
Real-Time Simulation of 4D Lung Tumor Radiotherapy Using a Breathing Model
Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting
Why Patient Data Cannot Be Easily Forgotten?
Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
Quasi-Conformally Flat Mapping the Human Cerebellum
One-Shot Active Learning for Vessel Segmentation
Inter-Cluster Features for Medical Image Classification
DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children's Nutritional Status Assessment
FDAS: Foundation Model Distillation and Anatomic Structure-Aware Multi-task Learning for Self-Supervised Medical Image Segmentation
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining
Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision
MIBF-Net: Multi-Modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network
Exploring the Design Space of 3D MLLMs for CT Report Generation
Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning
Improving the Automatic Cranial Implant Design in Cranioplasty by Linking Different Datasets
A Statistically Based Surface Evolution Method for Medical Image Segmentation: Presentation and Validation
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach
RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform
Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping
Brain-Environment Cross-Attention (BECA) Meta-matching: A New Perspective of Brain Connectome Zero-Shot Learning
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels
A Large-Scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields
MR Compatible Surgical Assist Robot: System Integration and Preliminary Feasibility Study
3D Dendrite Reconstruction and Spine Identification
Hippocampus Subfield Segmentation Using a Patch-Based Boosted Ensemble of Autocontext Neural Networks
An Anisotropic Material Model for Image Guided Neurosurgery
Phase Contrast Image Restoration via Dictionary Representation of Diffraction Patterns
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation
DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening
Attention Based Hierarchical Aggregation Network for 3D Left Atrial Segmentation
Multi-atlas Segmentation and Landmark Localization in Images with Large Field of View
Cancer Prevention Through Early Detection - Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Using Frankenstein's Creature Paradigm to Build a Patient Specific Atlas
Anatomy-Based Self-supervised Pre-training for Scale-Robust Hierarchical Representations in Chest X-Rays
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation
Towards Non-invasive Image-Based Early Diagnosis of Autism
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes
Deep Learning Based Modality-Independent Intracranial Aneurysm Detection
Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules
Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
How Few Annotations are Needed for Segmentation Using a Multi-planar U-Net?
A Study of Dosimetric Evaluation and Feasibility of Image Guided Intravascular Brachytherapy in Peripheral Arteries
Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network
A Mesh-Aware Ball-Pivoting Algorithm for Generating the Virtual Arachnoid Mater
A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis
Automatic and Real-Time Identification of Breathing Pattern from Ultrasound Liver Images
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?
Estimation of a Multi-fascicle Model from Single B-Value Data with a Population-Informed Prior
Ophthalmic Medical Image Analysis - 12th International Workshop, OMIA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI
Classification Improvement by Segmentation Refinement: Application to Contrast-Enhanced MR-Mammography
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
Accessible Digital Ophthalmoscopy Based on Liquid-Lens Technology
The Synergy of 3D SIFT and Sparse Codes for Classification of Viewpoints from Echocardiogram Videos
A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template
Detecting Lesion Bounding Ellipses with Gaussian Proposal Networks
Impact of Clinical Image Quality on Efficient Foundation Model Finetuning
Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training
Fast and Accurate Ultrasonography for Visceral Fat Measurement
Deformable Registration of High-Resolution and Cine MR Tongue Images
Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction
Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration
Iterative Most Likely Oriented Point Registration
New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions
Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning
Liver Tumor Biopsy in a Respiring Phantom with the Assistance of a Novel Electromagnetic Navigation Device
Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation
Bone Motion Analysis from Dynamic MRI: Acquisition and Tracking
Global and Local Interpretability for Cardiac MRI Classification
Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation
Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology
An LLM-Based Active Assistant and Smart Manual for CT Imaging Workflows
Exact Function Alignment Under Elastic Riemannian Metric
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
Intraoperative Registration for Liver Tumor Ablation
Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks
Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network
Marker-Less Reconstruction of Dense 4-D Surface Motion Fields Using Active Laser Triangulation for Respiratory Motion Management
PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis
Shape Registration by Simultaneously Optimizing Representation and Transformation
Liver Motion Due to Needle Pressure, Cardiac, and Respiratory Motion During the TIPS Procedure
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis
DeepCerv: Deep Neural Network for Segmentation Free Robust Cervical Cell Classification
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation
A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning
Self-Transfer Learning for Weakly Supervised Lesion Localization
3-D Respiratory Motion Compensation during EP Procedures by Image-Based 3-D Lasso Catheter Model Generation and Tracking
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data
GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging
A Hyperspectral Dermoscopy Dataset for Melanoma Detection
Quantifying Calcification in the Lumbar Aorta on X-Ray Images
Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs
Steerable Intravitreal Inserts for Drug Delivery: In Vitro and Ex Vivo Mobility Experiments
Unsupervised Nuclei Segmentation Using Spatial Organization Priors
Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae
Virtual Fluoroscopy: Safe Zones for Pelvic Screw Fixations
Brain-Heart-Gut Guided Multi-constraint Knowledge Distillation for Early Alzheimer's Disease Diagnosis
VesselShot: Few-shot Learning for Cerebral Blood Vessel Segmentation
OSAL-ND: Open-Set Active Learning for Nucleus Detection
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
VoteNet: A Deep Learning Label Fusion Method for Multi-atlas Segmentation
Reconstruction Method by Using Sparse and Low-Rank Structures for Fast 4D-MRI Acquisition
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-Aware Network
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
DiffULD: Diffusive Universal Lesion Detection
Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles
ToF Meets RGB: Novel Multi-Sensor Super-Resolution for Hybrid 3-D Endoscopy
DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy
Fully Automated and Adaptive Detection of Amyloid Plaques in Stained Brain Sections of Alzheimer Transgenic Mice
C-arm Pose Estimation in Prostate Brachytherapy by Registration to Ultrasound
Automatic Radiology Report Generation Based on Multi-view Image Fusion and Medical Concept Enrichment
Tracking and Characterization of Fragments in a Beating Heart Using 3D Ultrasound for Interventional Guidance
A Surgical Guidance System for Big-Bubble Deep Anterior Lamellar Keratoplasty
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks
Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes
3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context
Detecting Outliers with Poisson Image Interpolation
Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy
Intraoperative Fast 3D Shape Recovery of Abdominal Organs in Laparoscopy
Can Collaborative Learning Be Private, Robust and Scalable?
Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks
Automatic Spine Curvature Estimation by a Top-Down Approach
Rethinking Histology Slide Digitization Workflows for Low-Resource Settings
Signal Decomposition for X-ray Dark-Field Imaging
Deformable Inherent Consistent Learning Network for Accurate Tooth Segmentation in Dental Panoramic Radiographs
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III
Efficient Geometrical Potential Force Computation for Deformable Model Segmentation
A Cascaded 3D Segmentation Model for Renal Enhanced CT Images
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
A More Design-Flexible Medical Transformer for Volumetric Image Segmentation
Federated Impression for Learning with Distributed Heterogeneous Data
Perinatal, Preterm and Paediatric Image Analysis - 9th International Workshop, PIPPI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Benchmark-Ready 3D Anatomical Shape Classification
SBC-AL: Structure and Boundary Consistency-Based Active Learning for Medical Image Segmentation
EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks
Optimizing the 3D Plate Shape for Proximal Humerus Fractures
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis
Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling
A CAD System for 3D Locating of Lesions in Mammogram
Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy
Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba
Bio-inspired Attentive Segmentation of Retinal OCT Imaging
Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models
An Effective Supervised Framework for Retinal Blood Vessel Segmentation Using Local Standardisation and Bagging
Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
A Demons Algorithm for Image Registration with Locally Adaptive Regularization
Manifold Learning for Cardiac Modeling and Estimation Framework
Enhanced Data Augmentation Using Synthetic Data for Brain Tumour Segmentation
Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas
ICHNet: Intracerebral Hemorrhage (ICH) Segmentation Using Deep Learning
"Virtual Touch": An Efficient Registration Method for Catheter Navigation in Left Atrium
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy
Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning
Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion
Photorealistic Rendering of Large Tissue Deformation for Surgical Simulation
Lumen Segmentation of Aortic Dissection with Cascaded Convolutional Network
Detection of Spatially Correlated Objects in 3 D Images Using Appearance Models and Coupled Active Contours
Scientific Discovery by Generating Counterfactuals Using Image Translation
Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration
Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data
Tree-Guided Sparse Coding for Brain Disease Classification