yusuke1997/dblp-id-title huggingface dataset:
Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation
Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer's Disease Based on Multimodal Neuroimages and CSF Biomarkers
Manifold Learning of COPD
An Experimental Image Guided Surgery Simulator for Hemicriolaryngectomy and Reconstruction by Tracheal Autotransplantation
Combinatorial Optimization for Electrode Labeling of EEG Caps
A Two-Stage Framework with Dual-Branch Network for End-to-End 3D Tooth Landmark Detection
Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Fundus Photograph Defect Repair Algorithm Based on Portable Camera Empty Shot
Computer Aided Identification of Motion Disturbances Related to Parkinson's Disease
Computational Methods and Clinical Applications for Spine Imaging - Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
Estimation of the Prior Distribution of Ground Truth in the STAPLE Algorithm: An Empirical Bayesian Approach
Development of Diabetic Foot Ulcer Datasets: An Overview
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers
MiHATP:A Multi-hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning
Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images
Intra-operative OCT (iOCT) Image Quality Enhancement: A Super-Resolution Approach Using High Quality iOCT 3D Scans
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation
Classification of Alzheimer's Disease by Cascaded Convolutional Neural Networks Using PET Images
Deformation Based Representation of Groupwise Average and Variability
Det-SAMReg: Few-Shot Medical Image Registration Using Vision Foundation Models
Sulcal Segmentation for Cortical Thickness Measurements
Retrospective Correction of MR Intensity Inhomogeneity by Information Minimization
OrificeNet: Automatic Concealed Orifice Detection from Microscope Imagery with CBCT-Guided Refinement
Learning Optimization Updates for Multimodal Registration
Optimization of Acquisition Geometry for Intra-operative Tomographic Imaging
Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints
Active Shape Model with Inter-profile Modeling Paradigm for Cardiac Right Ventricle Segmentation
Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion
Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning
Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset
Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models
Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters
Self-supervised MRI Reconstruction with Unrolled Diffusion Models
Identification of U-Bundles Based on Sulcus Morphology
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images
Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing
Fighting Class Imbalance with Contrastive Learning
Effective Brain Connectivity Through a Constrained Autoregressive Model
Cardiac Physiology Knowledge-Driven Diffusion Model for Contrast-Free Synthesis Myocardial Infarction Enhancement
CapAIBL: Automated Reporting of Cortical PET Quantification Without Need of MRI on Brain Surface Using a Patch-Based Method
Towards Standardization of Retinal Vascular Measurements: On the Effect of Image Centering
Siloed Federated Learning for Multi-centric Histopathology Datasets
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation
Neural Architecture Search for Adversarial Medical Image Segmentation
Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer
Statistical Shape Model with Random Walks for Inner Ear Segmentation
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation
Deep-Learning Based T 1 and T 2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals
PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
Improving Brain MRI Segmentation with Multi-Stage Deep Domain Unlearning
Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate
Automatic Detection of Cardiac Remodeling Using Global and Local Clinical Measures and Random Forest Classification
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization
Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps
Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation
Cervical Cancer Detection Using SVM Based Feature Screening
Haptic Modes for Multiparameter Control in Robotic Surgery
Locally Orderless Registration for Diffusion Weighted Images
EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation
Learning COPD Sensitive Filters in Pulmonary CT
A Novel Mixed Reality Navigation System for Laparoscopy Surgery
Self-Supervised Learning of Gait-Based Biomarkers
Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting
Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks
Left Ventricle Tracking Using Overlap Priors
Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images
Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints
Semi-Supervised Learning Based Cascaded Pocket U-Net for Organ and Pan-Cancer Segmentation in Abdomen CT
DetectDiffuse: Aggregation- and Attention-Driven Universal Lesion Detection with Multi-scale Diffusion Model
A New Metric for Statistical Analysis of Rigid Transformations: Application to the Rib Cage
Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network
Fully Automatic Planning of Total Shoulder Arthroplasty Without Segmentation: A Deep Learning Based Approach
C-arm Tracking and Reconstruction Without an External Tracker
A Classification Proposal for Computer-Assisted Knee Systems
Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread
Semi-supervised Learning of Fetal Anatomy from Ultrasound
Connectivity-Driven Brain Parcellation via Consensus Clustering
Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction
Pectoralis Muscle Segmentation on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored Atlas
A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration
Bone Enhancement Filtering: Application to Sinus Bone Segmentation and Simulation of Pituitary Surgery
The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data
Comparing the Similarity of Statistical Shape Models Using the Bhattacharya Metric
Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs
Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis
Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
PHiSeg: Capturing Uncertainty in Medical Image Segmentation
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images
Thoracic Abnormality Detection with Data Adaptive Structure Estimation
Diabetic Retinopathy Detection Based on Weakly Supervised Object Localization and Knowledge Driven Attribute Mining
3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network
Controllable Latent Diffusion Model to Evaluate the Performance of Cardiac Segmentation Methods
Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging
Machine Learning for Medical Image Reconstruction - 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Vertebrae Localization, Segmentation and Identification Using a Graph Optimization and an Anatomic Consistency Cycle
Robustness Evaluation of Multi-visit Magnetic Resonance Image Reconstruction
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease
2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions
Learning What is Worth Learning: Active and Sequential Domain Adaptation for Multi-modal Gross Tumor Volume Segmentation
Video-Specific SVMs for Colonoscopy Image Classification
Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images
2D-3D Intensity Based Registration of DSA and MRA - A Comparison of Similarity Measures
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks
Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models
SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People
Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis
Resting-State FMRI Single Subject Cortical Parcellation Based on Region Growing
Anatomically Constrained Transformers for Cardiac Amyloidosis Classification
rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform
A Transfer Learning Based Model Ensemble Method for Image Quality Assessment and Diabetic Retinopathy Grading
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores
A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data
Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis
Segmentation of Whole-Brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images
A Mesh-Based Shape Analysis Framework
Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
Cylindrical Echocardiographic Image Segmentation Based on 3D Deformable Models
SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image
Overlay Mantle-Free for Semi-supervised Medical Image Segmentation
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Low-Rank Total Variation for Image Super-Resolution
Multiple Instance Neuroimage Transformer
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection
Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting
A Unified Continuous Staging Framework for Alzheimer's Disease and Lewy Body Dementia via Hierarchical Anatomical Features
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
Detecting Epileptic Regions Based on Global Brain Connectivity Patterns
DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
On Feature Relevance in Image-Based Prediction Models: An Empirical Study
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
Data Augmentation from Sketch
Experiment of Wireless Tele-echography System by Controlling Echographic Diagnosis Robot
Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound
CryoFlow: Prediction of Frozen Region Growth in Kidney Cryoablation Using a 3D Flow-Matching
A Microstructure Model from Conventional Diffusion MRI of Meningiomas: Impact of Noise and Error Minimization
Detecting Functional Connectivity of the Cerebellum Using Low Frequency Fluctuations (LFFs)
Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests
On-the-Fly Motion-Compensated Cone-Beam CT Using an a Priori Motion Model
CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy
Refined Local-imbalance-based Weight for Airway Segmentation in CT
Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging
LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Cues
Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information
Multi-scale Prototypical Transformer for Whole Slide Image Classification
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation
Covering Population Variability: Morphing of Computation Anatomical Models
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification
Hippocampal Shape Analysis Using Medial Surfaces
HuLP: Human-in-the-Loop for Prognosis
Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models
Measurement of the Tip and Friction Force Acting on a Needle during Penetration
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss
Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning
SpringLS: A Deformable Model Representation to Provide Interoperability between Meshes and Level Sets
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma
Anatomically Guided Registration of Whole Body Mouse MR Images
Adversarial Policy Gradient for Deep Learning Image Augmentation
Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation
Unsupervised Reconstruction of a Patient-Specific Surface Model of a Proximal Femur from Calibrated Fluoroscopic Images
Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation
Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping
Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images
[inline-graphic not available: see fulltext]Endora: Video Generation Models as Endoscopy Simulators
ArterialGNet: Impossible Femoral Access Prediction in Stroke Mechanical Thrombectomy with Vascular Centerline Graph Embeddings
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks
Comparison of Shape Regression Methods under Landmark Position Uncertainty
Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset
Uncertainty-Aware Meta-weighted Optimization Framework for Domain-Generalized Medical Image Segmentation
Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding
Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning
Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic
Assessment of Perceptual Quality for Gaze-Contingent Motion Stabilization in Robotic Assisted Minimally Invasive Surgery
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Accurate Breast Tumor Identification Using Computational Ultrasound Image Features
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks
Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans
Superpixel Classification Based Optic Cup Segmentation
A Task-Conditional Mixture-of-Experts Model for Missing Modality Segmentation
SCOPE: Speech-Guided COllaborative PErception Framework for Surgical Scene Segmentation
Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills
Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns
Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-atlas Based Registration
Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-organ Segmentation
CT-Guided, Unsupervised Super-Resolution Reconstruction of Single 3D Magnetic Resonance Image
Patient-Specific Simulation of Carotid Artery Stenting Using Computational Fluid Dynamics
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference
ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network
Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model
Incorporating Low-Level Constraints for the Retrieval of Personalised Heart Models from Dynamic MRI
Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data
Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces
Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge
Recognition in Ultrasound Videos: Where Am I?
Tied Prototype Model for Few-Shot Medical Image Segmentation
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features
Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences
A Multiscale Feature Detector for Morphological Analysis of the Brain
Automatic Initialization Algorithm for Carotid Artery Segmentation in CTA Images
Convolution-Free Medical Image Segmentation Using Transformers
Thoracoscopic Surgical Navigation System for Cancer Localization in Collapsed Lung Based on Estimation of Lung Deformation
Localized Component Analysis for Arthritis Detection in the Trapeziometacarpal Joint
Cartilage Thickness Measurement in the Sub-millimeter Range
Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage
The Cardiac Atlas Project: Rationale, Design and Procedures
Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm
Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013)
Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty
A Soft STAPLE Algorithm Combined with Anatomical Knowledge
Deep Representation Learning for Multimodal Brain Networks
Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
Infant Hippocampal Segmentation in Ultra-Low-Field MRI Using External Datasets with Diverse Field Strengths
An Iterative Closest Point Framework for Ultrasound Calibration
Spatial Diffusion for Cell Layout Generation
LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke
A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
Tumor Invasion Margin on the Riemannian Space of Brain Fibers
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection
Automatic Data Augmentation for 3D Medical Image Segmentation
Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI
TF-TransUNet1D: Time-Frequency Guided Transformer U-Net for Robust ECG Denoising in Digital Twin
Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity
Automated Sulci Identification via Intrinsic Modeling of Cortical Anatomy
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting
Learning Guided Electron Microscopy with Active Acquisition
Real-Time Muscle Deformation via Decoupled Modeling of Solid and Muscle Fiber Mechanics
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation
A Novel Quantitative Validation of the Cortical Surface Reconstruction Algorithm Using MRI Phantom: Issues on Local Geometric Accuracy and Cortical Thickness
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis
Tamed Snake: A Particle System for Robust Semi-automatic Segmentation
Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI
Outlier Rejection for Diffusion Weighted Imaging
Dynamic-Aware Spatio-Temporal Representation Learning for Dynamic MRI Reconstruction
Rigid Registration of Freehand 3D Ultrasound and CT-Scan Kidney Images
Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI