yusuke1997/dblp-id-title huggingface dataset:
Using Functional Magnetic Resonance Imaging and Personal Characteristics Features for Detection of Neurological Conditions
Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency
Genus-One Surface Registration via Teichmüller Extremal Mapping
Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification
Practical Intraoperative Stereo Camera Calibration
Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging
Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits
Multiple Object Segmentation and Tracking by Bayes Risk Minimization
A Post-processing Technique to Suppress Fluid Signal and Increase Contrast in Multispectral MR Exams of MS Patients
Cell Spreading Analysis with Directed Edge Profile-Guided Level Set Active Contours
A Novel Cell Orientation Congruence Descriptor for Superpixel Based Epithelium Segmentation in Endometrial Histology Images
Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Revised Selected Papers
A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation
Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation
RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation
Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography
Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts
Rapid Treatment Planning for Low-dose-rate Prostate Brachytherapy with TP-GAN
EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography
Continuous Longitudinal Fetus Brain Atlas Construction via Implicit Neural Representation
Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning
Foveal Algorithm for the Detection of Microcalcification Clusters: A FROC Analysis
RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning
Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate
Towards High-Resolution Cardiac Atlases: Ventricular Anatomy Descriptors for a Standardized Reference Frame
Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework
Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces
Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network
Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?
EndoGen: Conditional Autoregressive Endoscopic Video Generation
Image Analysis in Stroke Diagnosis and Interventions - 5th International Workshop, SWITCH 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Physics-Based Decoding Improves Magnetic Resonance Fingerprinting
Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy
Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features
Self-supervised 3D Skeleton Completion for Vascular Structures
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images
ShortCXR: Benchmarking Self-supervised Learning for Shortcut Mitigation in Chest X-Ray Diagnostics
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
MultiTalent: A Multi-dataset Approach to Medical Image Segmentation
MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans
Surface-Based Texture and Morphological Analysis Detects Subtle Cortical Dysplasia
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images
Marching Optimal-Parameter Ridges: An Algorithm to Extract Shape Loci in 3D Images
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
Efficient Multi-Modal Whole Heart Segmentation via Cascaded U-Net: A Practical Solution for Clinical Settings
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?
UteroVAE: A Shape-Informed Variational Autoencoder for Uterine MRI Encoding in Adenomyosis, Fibroids, and Healthy Uteri
Handheld Laparoscopic Forceps Manipulator Using Multi-slider Linkage Mechanisms
A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint
Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach
Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury
Holistic Analysis of Abdominal CT for Predicting the Grade of Dysplasia of Pancreatic Lesions
Estimation of Healthy and Fibrotic Tissue Distributions in DE-CMR Incorporating CINE-CMR in an EM Algorithm
Quantifying Structural Connectivity in Brain Tumor Patients
Domain-Robust Mitotic Figure Detection with Style Transfer
SATr: Slice Attention with Transformer for Universal Lesion Detection
A Semi-automatic Endocardial Border Detection Method for 4D Ultrasound Data
Null Point Imaging: A Joint Acquisition/Analysis Paradigm for MR Classification
Assessing the Classification of Liver Focal Lesions by Using Multi-phase Computer Tomography Scans
The Performance of Transferability Metrics Does Not Translate to Medical Tasks
Stain Mix-Up: Unsupervised Domain Generalization for Histopathology Images
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization
Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation
Generating Highly Realistic Images of Skin Lesions with GANs
Application of a Population Based Electrophysiological Database to the Planning and Guidance of Deep Brain Stereotactic Neurosurgery
Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
LDDMEm: Large Deformation Diffeomorphic Metric Embedding - Decoupling Shape Analysis from Image Registration
Combining Generative Models for Multifocal Glioma Segmentation and Registration
Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation
A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes
Articulated Rigid Registration for Serial Lower-Limb Mouse Imaging
NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment
Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples
A New Method for Creating Electrophysiological Maps for DBS Surgery and Their Application to Surgical Guidance
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients
Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold
Carotid Artery and Jugular Vein Tracking and Differentiation Using Spatiotemporal Analysis
3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT
Boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network
WDNet: A Novel Wavelet-Guided Hierarchical Diffusion Network for Multi-target Segmentation in Colonoscopy Images
Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI
Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains
Heatmap Regression for Lesion Detection Using Pointwise Annotations
Fast Musculoskeletal Registration Based on Shape Matching
Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images
BRANCH: Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics
Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment
Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI
The Head and Neck Tumor Segmentation Using nnU-Net with Spatial and Channel 'Squeeze & Excitation' Blocks
Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans
Image Distillation for Safe Data Sharing in Histopathology
LifeLonger: A Benchmark for Continual Disease Classification
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images
Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation
Image-Based Smoke Detection in Laparoscopic Videos
Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Probabilistic Brain Atlas Encoding Using Bayesian Inference
FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities
Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning
Analytic Expressions for Fiducial and Surface Target Registration Error
Improving Autism Detection with Multimodal Behavioral Analysis
Least Biased Target Selection in Probabilistic Atlas Construction
Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment
Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI
A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences
Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation
Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation
Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets
Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks
PathoTune: Adapting Visual Foundation Model to Pathological Specialists
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images
Automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression
Automatic Localization of Cochlear Implant Electrodes in CT
Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
Long-Tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation
Automatic Non-rigid Temporal Alignment of IVUS Sequences
Robust Skull Stripping of Clinical Glioblastoma Multiforme Data
Polyp Segmentation Method in Colonoscopy Videos by Means of MSA-DOVA Energy Maps Calculation
Deep Neural Network or Dermatologist?
Beyond the Standards: Fully-Automated Aortic Annulus Segmentation on Contrast-Free Magnetic Resonance Imaging Using a Computational Aorta Unwrapping Method
Embedding Human Brain Function via Transformer
Advancing Brain Imaging Analysis Step-by-Step via Progressive Self-paced Learning
Adapting Vision Foundation Models for Real-Time Ultrasound Image Segmentation
Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration
Automatic Detection of Folds and Wrinkles Due to Swelling of the Optic Disc
BiasPruner: Debiased Continual Learning for Medical Image Classification
A Software Framework for Creating Patient Specific Geometric Models from Medical Imaging Data for Simulation Based Medical Planning of Vascular Surgery
DisDiff: Disentanglement Diffusion Network for MR Imaging Translation
Conformal Slit Mapping and Its Applications to Brain Surface Parameterization
CTSL: Codebook-Based Temporal-Spatial Learning for Accurate Non-contrast Cardiac Risk Prediction Using Cine MRIs
From Feature Maps to Few-Shot Cell Segmentation
Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Scalable Neural Architecture Search for 3D Medical Image Segmentation
Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution
Importance Driven Continual Learning for Segmentation Across Domains
Q-MAF Shape Decomposition
Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery
Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow
Methods for Tractography-Driven Surface Registration of Brain Structures
Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt
Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation
Brain Surface Conformal Parameterization with Algebraic Functions
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging
A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science
Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data
Benchmark of Deep Encoder-Decoder Architectures for Head and Neck Tumor Segmentation in Magnetic Resonance Images: Contribution to the HNTSMRG Challenge
RegScore: Scoring Systems for Regression Tasks
An Approach for the Automatic Cephalometric Landmark Detection Using Mathematical Morphology and Active Appearance Models
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data
Deep Semi-supervised Segmentation with Weight-Averaged Consistency Targets
Fiber Modeling and Clustering Based on Neuroanatomical Features
Real-Time 2D/3D Deformable Registration Using Metric Learning
Continuous Spatio-temporal Atlases of the Asymptomatic and Infarcted Hearts
Fast Polynomial Approximation to Heat Diffusion in Manifolds
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation
Comparison of Rigid Registration Methods in Four Clinical Scenarios
Unsupervised Myocardial Segmentation for Cardiac MRI
Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow
A Learning Method for Automated Polyp Detection
SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures - 4th International Workshop, CARE 2017, and 6th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition
Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images
Optimizing Transformations for Contrastive Learning in a Differentiable Framework
2D Guide Wire Tracking during Endovascular Interventions
Transient MR Elastography: Modeling Traumatic Brain Injury
Ultrasound-Guided Navigation System for Orthognathic Surgery
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference
An Event-Driven Framework for the Simulation of Complex Surgical Procedures
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation
Sparse Spatio-temporal Inference of Electromagnetic Brain Sources
Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images
HIST: HyperIntensity Segmentation Tool
Evaluating the Performance of StyleGAN2-ADA on Medical Images
Towards a Foundation Model for Cortical Folding
Deep Active Self-paced Learning for Accurate Pulmonary Nodule Segmentation
Multi-task Learning for Few-Shot Differential Diagnosis of Breast Cancer Histopathology Images
Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
Towards a Multi-modal Atlas for Neurosurgical Planning
CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI
Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma
Multiple Instance Cancer Detection by Boosting Regularised Trees
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
On the Foundation Model for Cardiac MRI Reconstruction
Strengthening the Potential of Magnetic Resonance Cholangiopancreatography (MRCP) by a Combination of High-Resolution Data Acquisition and Omni-directional Stereoscopic Viewing
Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification
Variational Bayesian Electrophysiological Imaging of Myocardial Infarction
Task-Driven Prompt Evolution for Foundation Models
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping
Meta-learning Physics-Informed Neural Networks for Personalized Cardiac Modeling
DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation
Resection-Based Demons Regularization for Breast Tumor Bed Propagation
Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN
Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning
Modeling Longitudinal Optical Coherence Tomography Images for Monitoring and Analysis of Glaucoma Progression
Can We Teach AI to Understand Breast Tumour Behaviour? Our MAMA-MIA Challenge Journey
Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI
Novel Disease Detection Using Ensembles with Regularized Disagreement
Spectral Clustering Algorithms for Ultrasound Image Segmentation
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-centre, Multi-vendor and Multi-disease Cardiac Image Segmentation
Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum
Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation
A New Shape Diffusion Descriptor for Brain Classification
Predicting Aesthetic Outcomes of Breast Cancer Surgery: A Robust and Explainable Image Retrieval Approach
Microscale Tracking of Surgical Instrument Motion
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT
Improved Tumor Segmentation Using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search
Combined Cardiac and Respiratory Motion Compensation for Atrial Fibrillation Ablation Procedures
CAD System for the Assistance of Comparative Reading for Lung Cancer Using Serial Helical CT Images
Image Registration and Fusion for Interventional MRI Guided Thermal Ablation of the Prostate Cancer
Evolutionary Normalization Optimization Boosts Semantic Segmentation Network Performance
Invertible Sharpening Network for MRI Reconstruction Enhancement
Deformable Cubic Hermite Mesh Templates for Statistical Liver Shape Analysis
Subject-Specific Prediction Using Nonlinear Population Modeling: Application to Early Brain Maturation from DTI
Non-linear Local Registration of Functional Data
Dynamic Single-Pixel Imaging on an Extended Field of View Without Warping the Patterns
A 3D Statistical Shape Model for the Left Ventricle of the Heart
COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children
Combining Edge, Region, and Shape Information to Segment the Left Ventricle in Cardiac MR Images
Echo-Path: Pathology-Conditioned Echo Video Generation
Multi-organ Detection in 3D Fetal Ultrasound with Machine Learning
Bag of Tricks for Ultra-widefield Fundus Image Quality Assessment
R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-Based Reconstruction from Radio Frequency to Image
Pixel2Mechanics: Automated Biomechanical Simulations of High-Resolution Intervertebral Discs from Anisotropic MRIs
Final Stroke Infarct Segmentation Using Deep Neural Networks
Surgical Gesture Segmentation and Recognition
Multi-Label MambaOut for Quality Assessment of Low-Field Pediatric Brain MR Images
DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation
Myopic Maculopathy Analysis - MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8-12, 2023, Proceedings
Dual Attention U-Net for Multi-sequence Cardiac MR Images Segmentation
ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment
Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization
Higher-Order Flux with Spherical Harmonics Transform for Vascular Analysis
Automatic Detection of Bowel Disease with Residual Networks
AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography
3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research
Genetics of Anisotropy Asymmetry: Registration and Sample Size Effects
Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data
Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry Digital Pathology Using Deep Generative Models
Validation of Federated Unlearning on Collaborative Prostate Segmentation