yusuke1997/dblp-id-title huggingface dataset:
Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation
Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation
Toward Precise Pulmonary Nodule Descriptors for Nodule Type Classification
MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion
Uncertainty-Aware Deep Learning Classification for MRI-Based Prostate Cancer Detection
Shape in Medical Imaging - International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Classification of 4D fMRI Images Using ML, Focusing on Computational and Memory Utilization Efficiency
Left Ventricle Segmentation Using Diffusion Wavelets and Boosting
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging
Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images
Comparison of Three High-End Endoscopic Visualization Systems on Telesurgical Performance
Learning with Sure Data for Nodule-Level Lung Cancer Prediction
Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models
Fast Diffusion Tensor Registration with Exact Reorientation and Regularization
Federated Stain Normalization for Computational Pathology
3D Volume Reconstruction from Single Lateral X-Ray Image via Cross-Modal Discrete Embedding Transition
Deep Attentional Features for Prostate Segmentation in Ultrasound
A Computer-Assisted Robotic Ultrasound-Guided Biopsy System for Video-Assisted Surgery
Label-Free Estimation of Clinically Relevant Performance Metrics Under Distribution Shifts
Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans
Towards Cancer Patients Classification Using Liquid Biopsy
Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
A System for MR-Ultrasound Guidance during Robot-Assisted Laparoscopic Radical Prostatectomy
The Dynamic Measurements of Regional Brain Activity for Resting-State fMRI: d-ALFF, d-fALFF and d-ReHo
Observational Supervision for Medical Image Classification Using Gaze Data
Brain Morphometry by Probabilistic Latent Semantic Analysis
Physics-Driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis
Endoscopic Navigation in the Absence of CT Imaging
Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth
Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images
Model-Based Estimation of Ventricular Deformation in the Cat Brain
Texture Based Mammogram Registration Using Geodesic Interpolating Splines
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation
Adolescent Brain Cognitive Development Neurocognitive Prediction - First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part I
Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs
Real-Time Catheter Extraction from 2D X-Ray Fluoroscopic and 3D Echocardiographic Images for Cardiac Interventions
Muscle Volume Quantification: Guiding Transformers with Anatomical Priors
Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI
An Architecture for Simulating Needle-Based Surgical Procedures
AI for Brain Lesion Detection and Trauma Video Action Recognition - First BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12-16, 2023, Proceedings
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging
Efficient Multi-scale Patch-Based Segmentation
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part II
Semi-supervised Deep Learning for Fully Convolutional Networks
Lung Extraction, Lobe Segmentation and Hierarchical Region Assessment for Quantitative Analysis on High Resolution Computed Tomography Images
Statistical Finite Element Model for Bone Shape and Biomechanical Properties
Quantifying Small Changes in Brain Ventricular Volume Using Non-rigid Registration
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps
An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images
Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
Representation Learning for Cross-Modality Classification
Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification
Quantification of Edematic Effects in Prostate Brachytherapy Interventions
Non-local Robust Detection of DTI White Matter Differences with Small Databases
Simplifying Prostate Elastography Using Micro-ultrasound and Transfer Function Imaging
Computer-Aided Planning of Patellofemoral Joint OA Surgery: Developin Physical Models from Patient MRI
DR-BUDDI: Diffeomorphic Registration for Blip Up-Down Diffusion Imaging
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists
Aligning and Restoring Imperfect ssEM Images for Continuity Reconstruction
Automatic Neuron Tracing in Volumetric Microscopy Images with Anisotropic Path Searching
MedMask: A Self-supervised Vision Foundation Model for Breast Cancer Detection Using Mammograms
Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation
Cognitive Burden Estimation for Visuomotor Learning with fNIRS
Delineation Uncertainty from Clinician Ranges in Cervical Cancer Radiotherapy Planning
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies
Automatic Detection and Recognition of Lung Abnormalities in Helical CT Images Using Deformable Templates
Cell Encoding for Histopathology Image Classification
Multi-task Weakly Supervised Intrapartum Ultrasound Measurements
Glioblastoma and Survival Prediction
Bronchoscope Tracking Without Fiducial Markers Using Ultra-tiny Electromagnetic Tracking System and Its Evaluation in Different Environments
Brain Age Estimation from MRI Using a Two-Stage Cascade Network with Ranking Loss
Applying an Active Contour Model for Pre-operative Planning of Transapical Aortic Valve Replacement
The Head and Neck Tumor Segmentation Based on 3D U-Net
PUPIL: Programmable Ultrasound Platform and Interface Library
6D Object Pose Tracking for Orthopedic Surgical Training Using Visual-Inertial Sensor Fusion
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification
Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs
Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations
cGAN-Based Lacquer Cracks Segmentation in ICGA Image
Optimal Scan Planning with Statistical Shape Modelling of the Levator Ani
CAPTURE-GAN: Conditional Attribute Preservation Through Unveiling Realistic GAN for Artifact Removal in Dual-Energy CT Imaging
Toward an Automatic Left Atrium Localization Based on Shape Descriptors and Prior Knowledge
Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model
Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPLE
Multi-frequency and Smoke Attention-Aware Learning Based Diffusion Model for Removing Surgical Smoke
MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction
Statistical Shape Model of Nested Structures Based on the Level Set
Multi-feature Intensity Inhomogeneity Correction in MR Images
VF-HM: Vision Loss Estimation Using Fundus Photograph for High Myopia
Efficient Deep Learning Approaches for Processing Ultra-widefield Retinal Imaging
Computer-Based Periaxial Rotation Measurement for Aligning Fractured Femur Fragments: Method and Preliminary Results
BoxShrink: From Bounding Boxes to Segmentation Masks
Locally Weighted Multi-atlas Construction
MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain 18 F-FDG PET Imaging
Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior
PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents
Baikal: Unpaired Denoising of Fluorescence Microscopy Images Using Diffusion Models
Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-sequence Brain MRI
Bimodal Network Architectures for Automatic Generation of Image Annotation from Text
Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis
A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers
Deep Generative Models - 5th MICCAI Workshop, DGM4MICCAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation
Automatic Teeth Segmentation in Panoramic X-Ray Images Using a Coupled Shape Model in Combination with a Neural Network
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation
Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks
Semi-supervised Adversarial Learning for Diabetic Retinopathy Screening
Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata
MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology
OperA: Attention-Regularized Transformers for Surgical Phase Recognition
Soft Level Set Coupling for LV Segmentation in Gated Perfusion SPECT
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows
Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor
Quantitative Modelling of Microcalcification Detection in Digital Mammography
Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
Analysis of Surfaces Using Constrained Regression Models
Preventing Signal Degradation During Elastic Matching of Noisy DCE-MR Eye Images
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes
Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs
DECAPS: Detail-Oriented Capsule Networks
System and Method for 3-D/3-D Registration between Non-contrast-enhanced CBCT and Contrast-Enhanced CT for Abdominal Aortic Aneurysm Stenting
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis
Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification Using Masked Autoencoders
Image Processing for Diffusion Tensor Magnetic Resonance Imaging
CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy
Self-pretrained V-Net Based on PCRL for Abdominal Organ Segmentation
Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks
Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM)
Lesion Detection by Efficiently Bridging 3D Context
Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning
Spatio-Temporal Deep Learning for Final Infarct Prediction Using Acute Stroke CT Perfusion Data
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification
Robust Fusion of Probability Maps
Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling
Estimation of Electrical Pathways Finding Minimal Cost Paths from Electro-Anatomical Mapping of the Left Ventricle
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields
Segmentation of Cardiac Structures Simultaneously from Short- and Long-Axis MR Images
A Frequency-Aware Self-supervised Learning for Ultra-Wide-Field Image Enhancement
Analysis of 3D Deformation Fields for Appearance-Based Segmentation
A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex
Segmentation of Cortical MS Lesions on MRI Using Automated Laminar Profile Shape Analysis
Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification
Neural Parameters Estimation for Brain Tumor Growth Modeling
Trans-Dimensional MCMC Methods for Fully Automatic Motion Analysis in Tagged MRI
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
Crowd Disagreement About Medical Images Is Informative
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound
CNNs Enable Accurate and Fast Segmentation of Drusen in Optical Coherence Tomography
OSATTA: One-Shot Automatic Test Time Augmentation for Domain Adaptation
Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation
Cardio-Respiratory Motion Estimation and Coronary Artery Segmentation for Image-Guided Percutaneous Coronary Intervention
Automatic Classification of SPECT Images of Alzheimer's Disease Patients and Control Subjects
M 4 oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
Seg4Reg Networks for Automated Spinal Curvature Estimation
PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images
Deformetrica 4: An Open-Source Software for Statistical Shape Analysis
Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
Stay Focused - Enhancing Model Interpretability Through Guided Feature Training
Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound
Joint Intensity Inhomogeneity Correction for Whole-Body MR Data
Surface Foliation Based Brain Morphometry Analysis
Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery
A Deep-Discrete Learning Framework for Spherical Surface Registration
Inter-operative Trajectory Registration for Endoluminal Video Synchronization: Application to Biopsy Site Re-localization
Limited-Angle Diffuse Optical Tomography Image Reconstruction Using Deep Learning
Profile Scale-Spaces for Multiscale Image Match
Computing Match Functions for Curves in R 2 and R 3 by Refining Polyline Approximations
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos
Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer
MedGCD: Generalized Category Discovery in Medical Imaging
Image Guidance for Spinal Facet Injections Using Tracked Ultrasound
Micro-Neurosurgical System in the Deep Surgical Field
Surface-Based Structural Group Analysis of fMRI Data
Functional Brain Image Analysis Using Joint Function-Structure Priors
Multi-relational Graph Convolutional Neural Networks for Carotid Artery Stenosis Diagnosis via Fundus Images
CADA Challenge: Rupture Risk Assessment Using Computational Fluid Dynamics
Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection
JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering
Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI
Multi-scale Statistical Grey Value Modelling for Thrombus Segmentation from CTA
Parkinson's Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks
Network-Based Classification Using Cortical Thickness of AD Patients
Study on Hemodynamics in Patient-Specific Thoracic Aortic Coarctation Model
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III
Towards Robust CT-Ultrasound Registration Using Deep Learning Methods
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V
DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN
A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion
Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication
IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation
Encoding Histopathological WSIs Using GNN for Scalable Diagnostically Relevant Regions Retrieval
Evaluation of in vivo Liver Tissue Characterization with Spectral RF Analysis versus Elasticity
Low-Dose CT Denoising Using Pseudo-CT Image Pairs
Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases
Tree Structured Model of Skin Lesion Growth Pattern via Color Based Cluster Analysis
Particle-Based Shape Analysis of Multi-object Complexes
Semi-autonomous Robotic Anastomoses of Vaginal Cuffs Using Marker Enhanced 3D Imaging and Path Planning
A Dual-Attention RNN for Repeat PCI Prediction Using EHRs
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
Fast Segmentation of Abdominal Wall: Application to Sliding Effect Removal for Non-rigid Registration
PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray
Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived Cardiomyocytes
Bone Reconstruction and Depth Control During Laser Ablation
4D CardioSynth: Synthesising Dynamic Virtual Heart Populations Through Spatiotemporal Disentanglement
LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images
Interpretable fMRI Captioning via Contrastive Learning
Development of the Ultra-Miniaturized Inertial Measurement Unit WB3 for Objective Skill Analysis and Assessment in Neurosurgery: Preliminary Results
Profiling DNA Damage in 3D Histology Samples
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network
Streamline Signature Net (SSN): Efficient White Matter Pathway Recognition for Bundles Parcellation Using Path Signature
Variability of the Human Cardiac Laminar Structure
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching
BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting
Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions
Crop and Segment: Efficient Whole Body Pan-Cancer Segmentation
A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
From Sinograms to Surfaces: A Direct Approach to the Segmentation of Tomographic Data
MM2CT: MR-to-CT Translation for Multi-modal Image Fusion with Mamba
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation
The Patient Comes First: The Perfect Surrogate
Carving Mesh with Deformation for Soft Tissue Removal Simulation
Reframing Universal Lesion Segmentation as a Large-Organ Lesion Segmentation Task
Focal Biologically Inspired Feature for Glaucoma Type Classification
Synthetic Augmentation for Anatomical Landmark Localization Using DDPMs
Classification of Confocal Endomicroscopy Patterns for Diagnosis of Lung Cancer
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
Two-Compartment Models of the Diffusion MR Signal in Brain White Matter
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease
When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation
VesselSDF: Distance Field Priors for Vascular Network Reconstruction
Model Based Spatial and Temporal Similarity Measures between Series of Functional Magnetic Resonance Images
Cardiac Electrophysiology Model Adjustment Using the Fusion of MR and Optical Imaging
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Saharan African Populations
Gated-tracking: Estimation of Respiratory Motion with Confidence
Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency
Algorithms for Automated Pointing of Cardiac Imaging Catheters
Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images
Multi-view Vertebra Localization and Identification from CT Images
SOE: SO(3)-Equivariant 3D MRI Encoding
Non-rigid Registration of Breast MR Images Using Mutual Information
Leveraging Random Forests for Interactive Exploration of Large Histological Images
Transrectal Prostate Biopsy Inside Closed MRI Scanner with Remote Actuation, under Real-Time Image Guidance