yusuke1997/dblp-id-title huggingface dataset:
Deep Correlational Learning for Survival Prediction from Multi-modality Data
SemiT-SAM: Building A Visual Foundation Model for Tooth Instance Segmentation on Panoramic Radiographs
A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
SwifTree: Interactive Extraction of 3D Trees Supporting Gaming and Crowdsourcing
Anatomy Prior Based U-net for Pathology Segmentation with Attention
SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition
Residual-CycleGAN Based Camera Adaptation for Robust Diabetic Retinopathy Screening
Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction
Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification
Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance
Analysis of Catheter-Based Registration with Vessel-Radius Weighting of 3D CT Data to 2D X-ray for Cardiac Catheterisation Procedures in a Phantom Study
Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT
Probabilistic Joint Segmentation and Labeling of C. elegans Neurons
CardiacCLIP: Video-Based CLIP Adaptation for LVEF Prediction in a Few-Shot Manner
Fair Dermatological Disease Diagnosis Through Auto-weighted Federated Learning and Performance-Aware Personalization
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
Forming the Interface Between Doctor and Designing Engineer
A Distributed Spatio-temporal EEG/MEG Inverse Solver
Detecting Regional Abnormal Cardiac Contraction in Short-Axis MR Images Using Independent Component Analysis
Automated Topology Correction for Human Brain Segmentation
The Varioscope AR - A Head-Monted Operating Microscope for Augmented Reality
Active Data Enrichment by Learning What to Annotate in Digital Pathology
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
Retrieval of Surgical Phase Transitions Using Reinforcement Learning
Tool Localization in 3D Ultrasound Images
Bayesian MRI Reconstruction with Structured Uncertainty Distributions
Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images
Self-supervised Dynamic MRI Reconstruction
Optimization for Multi-Region Segmentation of Cardiac MRI
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images
A Theoretical Comparison of Different Target Registration Error Estimators
A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images
3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer
Self-similarity Weighted Mutual Information: A New Nonrigid Image Registration Metric
Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders
Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies
Progression Models for Imaging Data with Longitudinal Variational Auto Encoders
Multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain Networks
Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network
Energy-Based Supervised Hashing for Multimorbidity Image Retrieval
BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI
Segmentation of Magnetic Resonance Images Using 3D Deformable Models
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
Assessment of Navigation Cues with Proximal Force Sensing during Endovascular Catheterization
Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation
SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI
Hyper-finger for Remote Minimally Invasive Surgery in Deep Area
Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease
Multi-Level Strategy for Computer-Assisted Transbronchial Biopsy
Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI
Automated Segmentation of Sulcal Regions
An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation
Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume
Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning
Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves
Crawling on the Heart: A Mobile Robotic Device for Minimally Invasive Cardiac Interventions
Active Echo: A New Paradigm for Ultrasound Calibration
Segmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network
Improved nn-UNet: Generalizable Multi-scale Attention-Driven Segmentation of Multi-sequence Myocardial Pathology
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis
MyoTrack: A 3D Deformation Field Method to Measure Cardiac Motion from Gated SPECT
MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation
Enhanced MRI Reconstruction Network Using Neural Architecture Search
Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data
Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging
HeartPerfect: Data Mining in a Large Database of Myocardial Perfusion Scintigraphy
In-vivo Strain and Stress Estimation of the Left Ventricle from MRI Images
A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue
Independent Registration and Virtual Controlled Reduction of Pelvic Ring Fractures
A Landmark-Based Approach for Robust Estimation of Exposure Index Values in Digital Radiography
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis
Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?
Improving Prostate Biopsy Protocol with a Computer Aided Detection Tool Based on Semi-supervised Learning
Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images
Towards Automatic Plan Selection for Radiotherapy of Cervical Cancer by Fast Automatic Segmentation of Cone Beam CT Scans
Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT
Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images
Baseline Method at the Intrapartum Ultrasound Grand Challenge 2024
Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation
Automatic Detection of Free Intra-abdominal Air in Computed Tomography
Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture
An Interactive Geometric Technique for Upper and Lower Teeth Segmentation
RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging
Fast Dynamic Perfusion and Angiography Reconstruction Using an End-to-End 3D Convolutional Neural Network
Characterization of Intra-abdominal Tissues from in vivo Animal Experiments for Surgical Simulation
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks
Informative Feature-Guided Siamese Network for Early Diagnosis of Autism
Cardiac Anchoring in MRI through Context Modeling
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network
Synthesizing Realistic Brain MR Images with Noise Control
Fine-Grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-Constraint Loss
3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN
Perinatal, Preterm and Paediatric Image Analysis - 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain Cytoarchitectonics
Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion
Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes
Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection
Shape-Based Averaging for Combination of Multiple Segmentations
Camera-Augmented Mobile C-arm (CAMC) Application: 3D Reconstruction Using a Low-Cost Mobile C-arm
Motion-Compensated Autonomous Scanning for Tumour Localisation Using Intraoperative Ultrasound
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation
Fast Soft Tissue Deformation with Tetrahedral Mass Spring Model for Maxillofacial Surgery Planning Systems
Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation
Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection
Model Criticism for Regression on the Grassmannian
A Comparison of the Cingulum Tract in ALS-B Patients and Controls Using Kernel Matching
Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer
Understanding the Optics to Aid Microscopy Image Segmentation
Perinatal, Preterm and Paediatric Image Analysis - 10th International Workshop, PIPPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Evaluation of Endoscopic Image Enhancement for Feature Tracking: A New Validation Framework
Transductive Prostate Segmentation for CT Image Guided Radiotherapy
Beyond Broad Applications: Can Pathology Foundation Models Adapt to Hematopathology?
A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging
Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations
Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images
Automatic Segmentation of Liver CT Image Based on Dense Pyramid Network
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IX
Implicit Snakes: Active Constrained Implicit Models
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 - October 1, 2021, Proceedings
Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion
A Dynamic Skull Model for Simulation of Cerebral Cortex Folding
Cortical Surface Parcellation Using Spherical Convolutional Neural Networks
Connectome of Autistic Brains, Global Versus Local Characterization
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning
Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning
Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging
Deep Learning Based Automatic Immune Cell Detection for Immunohistochemistry Images
An Automated Segmentation Method of Kidney Using Statistical Information
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation
Automatic Graph-Based Localization of Cochlear Implant Electrodes in CT
Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework
Evaluating the Fairness of Neural Collapse in Medical Image Classification
Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
Pre- and Intra-operative Planning and Simulation of Percutaneous Tumor Ablation
Feature Aggregation Decoder for Segmenting Laparoscopic Scenes
Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides
Real-Time Liver Motion Compensation for MRgFUS
Towards a Better Understanding of Pelvic System Disorders Using Numerical Simulation
Hierarchical Manifold Learning
Exploring Text-Enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data
Non-invasive TB Detection Using Acoustic and Semantic Features from Cough Sounds
Speckle Reduction in Optical Coherence Tomography by Image Registration and Matrix Completion
Accuracy Assessment of CBCT-Based Volumetric Brain Shift Field
A 3-Dimensional Database of Deep Brain Functional Anatomy, and Its Application to Image-Guided Neurosurgery
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field
Cycle Diffusion Model for Counterfactual Image Generation
Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques
Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image
CaRTS: Causality-Driven Robot Tool Segmentation from Vision and Kinematics Data
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex
Self Stabilization of Image Attributes for Left Ventricle Segmentation
Perthes Disease Classification Using Shape and Appearance Modelling
The Effect of Organ Motion and Image Artifacts on Monomodal Volume Registration
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings
SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer
PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models
Unified Detection and Tracking in Retinal Microsurgery
Ultrasound Probe Tracking for Real-Time Ultrasound/MRI Overlay and Visualization of Brain Shift
Towards Multi-modal Self-supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery
Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness
Novel View Synthesis for Surgical Recording
Computational Diffusion MRI - 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning
Projection-Based Phase Features for Localization of a Needle Tip in 2D Curvilinear Ultrasound
Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation
Segmentation of Lumbar Vertebrae Using Part-Based Graphs and Active Appearance Models
Automatic Segmentation of Lower-Limb Arteries on CTA for Pre-surgical Planning of Peripheral Artery Disease
Auto-calibrating Spherical Deconvolution Based on ODF Sparsity
MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X
KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization
From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images
Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation
Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning
Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks
Refining Deep Learning Segmentation Maps with a Local Thresholding Approach: Application to Liver Surface Nodularity Quantification in CT
LSOR: Longitudinally-Consistent Self-Organized Representation Learning
Bias and Generalizability of Foundation Models Across Datasets in Breast Mammography
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
Non-local STAPLE: An Intensity-Driven Multi-atlas Rater Model
DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets
Do We Need Annotation Experts? A Case Study in Celiac Disease Classification
MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
Multi-label Whole Heart Segmentation Using CNNs and Anatomical Label Configurations
Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy
Memory Efficient LDDMM for Lung CT
Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest
MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
Shape-Aware Diffusion Model for Tumor Segmentation on Gd-EOB-DTPA MRI Images of Hepatocellular Carcinoma
CapsDeMM: Capsule Network for Detection of Munro's Microabscess in Skin Biopsy Images
Iterative Training of Discriminative Models for the Generalized Hough Transform
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach
Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images
MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction
A Colour Image Processing Model for Melanoma Detection
Automating 3D Echocardiographic Image Analysis
A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment
Motion Analysis with Quadrature Filter Based Registration of Tagged MRI Sequences
Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model
Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports
Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
A Comparative Study of Correspondence-Search Algorithms in MIS Images
Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification
Advancing Multi-organ and Pan-Cancer Segmentation in Abdominal CT Scans Through Scale-Aware and Self-attentive Modulation
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team)
VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network
Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images
Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network
Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptors
Groupwise Non-rigid Registration Using Polyharmonic Clamped-Plate Splines
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
GUNet: A GCN-CNN Hybrid Model for Retinal Vessel Segmentation by Learning Graphical Structures
Multivariate Statistics of the Jacobian Matrices in Tensor Based Morphometry and Their Application to HIV/AIDS
3D Tongue Motion from Tagged and Cine MR Images
Surgical Motion Adaptive Robotic Technology (S.M.A.R.T): Taking the Motion out of Physiological Motion
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning
MoViS: Motion-guided Video Generation for Laparoscopic Surgery
Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction
Generalized Surface Flows for Deformable Registration and Cortical Matching
Quasi-automatic Colon Segmentation on T2-MRI Images with Low User Effort
Contrast-Invariant Registration of Cardiac and Renal MR Perfusion Images
VBCD: A Voxel-Based Framework for Personalized Dental Crown Design
Ultrasound and Fluoroscopic Images Fusion by Autonomous Ultrasound Probe Detection
4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network
Random Walks for Deformable Image Registration
Representation, Alignment, Fusion: A Generic Transformer-Based Framework for Multi-modal Glaucoma Recognition
Less is More: Contrast Attention Assisted U-Net for Kidney, Tumor and Cyst Segmentations
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts
ARAMIS: Augmented Reality Assistance for Minimally Invasive Surgery Using a Head-Mounted Display
Two-Stage Alignment of fMRI Time Series Using the Experiment Profile to Discard Activation-Related Bias
Single-Subject Structural Networks with Closed-Form Rotation Invariant Matching Improve Power in Developmental Studies of the Cortex
Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Fully Automatic 3D/2D Subtracted Angiography Registration
Three-Dimensional Respiratory Deformation Processing for CT Vessel Images Using Angiographic Images
Task Adaptive Metric Space for Medium-Shot Medical Image Classification
Assessing Skill and Learning in Surgeons and Medical Students Using a Force Feedback Surgical Simulator
Explainable Prediction of Recurrence After Prostate Cancer Radiotherapy Using in Silico digital twin model and machine learning
Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection
Mission Balance: Generating Under-Represented Class Samples Using Video Diffusion Models