yusuke1997/dblp-id-title huggingface dataset:
Accurate Banded Graph Cut Segmentation of Thin Structures Using Laplacian Pyramids
Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction
Longitudinal Intensity Normalization in Multiple Sclerosis Patients
Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets
Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos
PAN: Projective Adversarial Network for Medical Image Segmentation
Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis
Comparative Analysis of Quasi-Conformal Deformations in Shape Space
Outcome Prediction and Individualized Treatment Effect Estimation in Patients with Large Vessel Occlusion Stroke
Breast Cancer Detection from Multi-view Screening Mammograms with Visual Prompt Tuning
Functional Magnetic Resonance Imaging Data Augmentation Through Conditional ICA
Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
Viscoelasticity Modeling of the Prostate Region Using Vibro-elastography
Variational AutoEncoder for Regression: Application to Brain Aging Analysis
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI
BraSyn 2023 Challenge: Missing MRI Synthesis and the Effect of Different Learning Objectives
Generative Adversarial Irregularity Detection in Mammography Images
DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching
Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network
Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution
Self-supervised Multi-modal Alignment for Whole Body Medical Imaging
Tree-Based Transforms for Privileged Learning
Multi-modal Registration Based Ultrasound Mosaicing
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging
Spinal Nerve Segmentation Method and Dataset Construction in Endoscopic Surgical Scenarios
Radiomics and Radiogenomics in Neuro-oncology - First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings
A Volumetric Conformal Mapping Approach for Clustering White Matter Fibers in the Brain
Three-Dimensional Display for Multi-sourced Activities and Their Relations in the Human Brain by Information Flow between Estimated Dipoles
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases
Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System
Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection
NeRF-Based CBCT Reconstruction Needs Normalization and Initialization
Exploring Synergies Between Convolutional Neural Networks and Transformers for Breast Cancer Segmentation
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA)
Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions
Unsupervised Learning of Brain States from fMRI Data
Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images
DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT
Model-Based Segmentation Using Graph Representations
Model-Updated Image-Guided Neurosurgery Using the Finite Element Method: Incorporation of the Falx Cerebri
Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans
Federated Fine-Tuning of SAM-Med3D for MRI-Based Dementia Classification
The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models
Optimal Acquisition Schemes in High Angular Resolution Diffusion Weighted Imaging
JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation
Motion Correction of MRI from Orthogonal k-Space Phase Difference
Augmented Reality Image Guidance in Minimally Invasive Prostatectomy
Automatic Segmentation of Lung Fields in Chest Radiographs
Uncovering Heterogeneity in Alzheimer's Disease from Graphical Modeling of the Tau Spatiotemporal Topography
Tracking Lesion Evolution Using a Boundary Enhanced Approach for MS Change Segmentation (BEAMS)
Image-Based 3D Reconstruction of Cleft Lip and Palate Using a Learned Shape Prior
Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks
Permutohedral Attention Module for Efficient Non-local Neural Networks
PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model
How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization
Parametric Dictionary Learning for Modeling EAP and ODF in Diffusion MRI
Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering
In-vivo Molecular Investigations of Live Tissues Using Diffracting Sources
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images
FedHarmony: Unlearning Scanner Bias with Distributed Data
Feature Pyramid Based Attention for Cervical Image Classification
Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism
Autonomous Ultrasound-Guided Tissue Dissection
Head and Neck Tumor Segmentation for MRI-Guided Radiation Therapy Using Pre-trained STU-Net Models
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum
MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification
Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting
High-Res Brain Source Imaging of MEG Using a Vector Bayesian Beamformer with Noise Learning
A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration
Multiscale Multimodal Medical Imaging - First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-Invariant CAM
Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching
Automatic Detection of Histological Artifacts in Mouse Brain Slice Images
Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network
Detection of Diabetic Retinopathy Using Longitudinal
Multi-atlas Context Forests for Knee MR Image Segmentation
Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology
Optimal Feature Selection Applied to Multispectral Fluorescence Imaging
Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data
Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment
Hybrid Multimodal Deformable Registration with a Data-Driven Deformation Prior
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training
Unbiased Diffeomorphic Mapping of Longitudinal Data with Simultaneous Subject Specific Template Estimation
Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms
Fully Bayesian VIB-DeepSSM
Consistent Estimation of Cardiac Motions by 4D Image Registration
Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation
Planning of Middle Hepatic Vein-Guided Hemihepatectomy: Resection Pathway Construction and Optimization
Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification
Cross-Modal Diffusion Modelling for Super-Resolved Spatial Transcriptomics
Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS
Optimal Sensor Placement for Predictive Cardiac Motion Modeling
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
Motion Tracking in Narrow Spaces: A Structured Light Approach
Physically Motivated Enhancement of Color Images for Fiber Endoscopy
Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train
An Unbiased Groupwise Registration Algorithm for Correcting Motion in Dynamic Contrast-Enhanced Magnetic Resonance Images
Lost in Tracking: Uncertainty-Guided Cardiac Cine MRI Segmentation at Right Ventricle Base
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling
A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis
Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy
Automatic Polyp Segmentation via Multi-scale Subtraction Network
Low-Resource Adversarial Domain Adaptation for Cross-modality Nucleus Detection
Enhancing Cell Detection via FC-HarDNet and Tissue Segmentation: OCELOT 2023 Challenge Approach
Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms
Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate
Probabilistic Multi-Shape Representation Using an Isometric Log-Ratio Mapping
SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders
Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease
Previous Datasets Performance for Brain Tumor Segmentation of BraTS 2023 Current Dataset
3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data
Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet
Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification
DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-modal Organ and Lesion Segmentation
SGNet: Structure-Aware Graph-Based Network for Airway Semantic Segmentation
Quantification of Delayed Enhancement MR Images
Towards Video Guidance for Ultrasound, Using a Prior High-Resolution 3D Surface Map of the External Anatomy
Quality-Based Registration and Reconstruction of Optical Tomography Volumes
Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network
HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
Revisiting Feature Propagation and Aggregation in Polyp Segmentation
Localized Questions in Medical Visual Question Answering
Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach
LIP-CAR: A Learned Inverse Problem Approach for Medical Imaging with Contrast Agent Reduction
Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network
Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images
A Novel Visualization Technique for Virtual Colonoscopy Using One-Sided Transparency
Model-Driven 3-D Regularisation for Robust Segmentation of the Refractive Corneal Surfaces in Spiral OCT Scans
SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIs
Fast and Scalable Optimal Transport for Brain Tractograms
A Variational PDE Based Level Set Method for a Simultaneous Segmentation and Non-rigid Registration
A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images
Measuring Brain Lesion Progression with a Supervised Tissue Classification System
Real-Time Gating of IVUS Sequences Based on Motion Blur Analysis: Method and Quantitative Validation
Automatic Detection of Landmarks for Fast Cardiac MR Image Registration
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer
Configurable Automatic Detection and Registration of Fiducial Frames for Device-to-Image Registration in MRI-Guided Prostate Interventions
Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels
Shape Modeling Using Automatic Landmarking
Object Classification in an Ultrasound Video Using LP-SIFT Features
Q-Space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis
Automatic Annotation of X-Ray Images: A Study on Attribute Selection
Synthesizing Dynamic MRI Using Long-Term Recurrent Convolutional Networks
Fast Ultrasound Image Simulation Using the Westervelt Equation
A New 3-D Automated Computational Method to Evaluate In-Stent Neointimal Hyperplasia in In-Vivo Intravascular Optical Coherence Tomography Pullbacks
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation
Agentic Hypergraph Search for Ontology-Grounded Medical Reasoning
Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I
Towards Interactive Planning of Coil Embolization in Brain Aneurysms
Automatic Guidance of an Ultrasound Probe by Visual Servoing Based on B-Mode Image Moments
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation
Surface Reconstruction from Tracked Endoscopic Video Using the Structure from Motion Approach
Singularities as Features of Deformation Grids
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation
3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm
Medical-based Deep Curriculum Learning for Improved Fracture Classification
A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography
Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net
New Motion Correction Models for Automatic Identification of Renal Transplant Rejection
Dual-Stream Pyramid Registration Network
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram
U-RWKV: Lightweight Medical Image Segmentation with Direction-Adaptive RWKV
Estimating a Patient Surface Model for Optimizing the Medical Scanning Workflow
Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach
Disentangled Representations for Domain-Generalized Cardiac Segmentation
Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT
Causal Representation Learning with Observational Grouping for CXR Classification
Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation
Prostate Segmentation by Sparse Representation Based Classification
Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images
Estimation of Reaction, Diffusion and Restitution Parameters for a 3D Myocardial Model Using Optical Mapping and MRI
An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration - Application to Automatic Whole Heart Segmentation
Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
A Fast Technique for Motion Correction in DSA Using a Feature-Based, Irregular Grid
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation
A CAD System for Quantifying COPD Based on 3-D CT Images
A Diffusion Model for Detecting and Classifying Vesicle Fusion and Undocking Events
Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images
PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-Branch Network
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IX
Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI
Medical Image Description Using Multi-task-loss CNN
Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis
Task-Specific Functional Brain Geometry from Model Maps
Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries
ORCGT: Ollivier-Ricci Curvature-Based Graph Model for Lung STAS Prediction
Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation
Joint Reconstruction of Image and Motion in MRI: Implicit Regularization Using an Adaptive 3D Mesh
Development of Clinically Based Corneal Nerves Tortuosity Indexes
Dense Volume-to-Volume Vascular Boundary Detection
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
Modeling the 3D Breast Surface Using Thermography
Global Localization and Orientation of the Cervical Spine in X-ray Images
IF 3 : An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps
Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach
Hardware-Assisted 2D/3D Intensity-Based Registration for Assessing Patellar Tracking
Texture-Based Analysis of Fetal Organs in Fetal Growth Restriction
Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks
CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
Wall Thickness Estimation from Short Axis Ultrasound Images via Temporal Compatible Deformation Learning
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
Continual Class Incremental Learning for CT Thoracic Segmentation
Spatio-Temporal Atlas of Bone Mineral Density Ageing
Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains
Fully Convolutional Boundary Regression for Retina OCT Segmentation
On the Blurring of the Funk-Radon Transform in Q-Ball Imaging
ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging Through Pose Graph Optimization
Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection
Deformable and Rigid Model-Based Image Registration for Quantitative Cardiac Perfusion
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality
Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images
A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
A Local Mutual Information Guided Denoising Technique and Its Application to Self-calibrated Partially Parallel Imaging
Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection
Generalizing Deep Models for Ultrasound Image Segmentation
Towards Radiotherapy Enhancement and Real Time Tumor Radiation Dosimetry Through 3D Imaging of Gold Nanoparticles Using XFCT
Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging
Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge
Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography
Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models
Deep Reinforcement Active Learning for Medical Image Classification
Four-Chamber 3-D Statistical Shape Model from Cardiac Short-Axis and Long-Axis MR Images
Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
A Biomechanical Model of the Human Tongue and Its Clinical Implications
Deep Active Learning for Effective Pulmonary Nodule Detection
Controllable and Efficient Multi-class Pathology Nuclei Data Augmentation Using Text-Conditioned Diffusion Models
Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention
Automated Tuberculosis Diagnosis Using Fluorescence Images from a Mobile Microscope
Semi-supervised Learning for Segmentation Under Semantic Constraint
Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
Functional Maps for Brain Classification on Spectral Domain
BiasICL: In-Context Learning and Demographic Biases of Vision Language Models
Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes
Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation
Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry
Moving from 2D to 3D: Volumetric Medical Image Classification for Rectal Cancer Staging
EchoAdapter: Adapting Pretrained Image Diffusion Models for Cardiac Ultrasound Video Generation
Prediction of FFR from IVUS Images Using Machine Learning
Computer Aided Detection for Low-Dose CT Colonography
A Statistical Shape Model of Individual Fiber Tracts Extracted from Diffusion Tensor MRI
Appearance Normalization of Histology Slides
Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer
UMamba Adjustment: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and NnU-Net ResEnc Planner