yusuke1997/dblp-id-title huggingface dataset:
Semi-supervised Segmentation Through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy
FilterDiff: Noise-Free Frequency-Domain Diffusion Models for Accelerated MRI Reconstruction
BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies
Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals
The Devil is in the Prompts: De-identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation
Diffusion-Based Virtual Staining from Polarimetric Mueller Matrix Imaging
U-Net Training with Instance-Layer Normalization
Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction
Evaluating Segmentation Error without Ground Truth
Cranial Implant Prediction by Learning an Ensemble of Slice-Based Skull Completion Networks
CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation - MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos
Cross-diagnostic Prediction of Dimensional Psychiatric Phenotypes in Anorexia Nervosa and Body Dysmorphic Disorder Using Multimodal Neuroimaging and Psychometric Data
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss
Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training
An Augmented Reality Approach for Initializing 2D/3D Registration
TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration
A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data
Modeling for Plastic and Reconstructive Breast Surgery
A Navigation System for Computer Assisted Unicompartmental Arthroplasty
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery
Human Vocal Tract Analysis by in Vivo 3D MRI during Phonation: A Complete System for Imaging, Quantitative Modeling, and Speech Synthesis
Predictive Intelligence in Medicine - 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer
MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection
TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation
Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks
Generalizing MRI Subcortical Segmentation to Neurodegeneration
A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences
Classification and Segmentation of Intrapartum Ultrasound Images with Deep Learning Models
Multi-DOF Forceps Manipulator System for Laparoscopic Surgery - Mechanism Miniaturized & Evaluation of New Interface
Fused Detection of Retinal Biomarkers in OCT Volumes
Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks
Patient and Probe Tracking During Freehand Ultrasound
Fetal Body Parts Segmentation Using Volumetric MRI Reconstructions
A Fast and Noise-Robust Method for Computation of Intravascular Pressure Difference Maps from 4D PC-MRI Data
Classification of Mitral Regurgitation from Cardiac Cine MRI Using Clinically-Interpretable Morphological Features
T 1 Mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data
SegBAW-Net: Segmentation of Bi-Atria and Wall Network Offering Valuable Insights into Challenge Data
Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard
Robust 3D Deformation Field Estimation by Template Propagation
Optic Flow Computation from Cardiac MR Tagging Using a Multiscale Differential Method: A Comparative Study with Velocity-Encoded MRI
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders
Feature-Preserving, Multi-material Mesh Generation Using Hierarchical Oracles
BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-scale Deformation Fields
Centerline Boundary Dice Loss for Vascular Segmentation
Cardiac Motion Estimation Using Covariant Derivatives and Helmholtz Decomposition
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
From Pathology to Radiology: Evaluating the Applicability of Pathology Foundation Models
Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset
A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression
Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease
Laser Projection Augmented Reality System for Computer Assisted Surgery
End-to-End Learning of Multi-organ Implicit Surfaces from 3D Medical Imaging Data
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Geometrical Transformation Approximation for 2D/3D Intensity-Based Registration of Portal Images and CT Scan
Predictive Simulation of Bidirectional Glenn Shunt Using a Hybrid Blood Vessel Model
Decoder-Free Supervoxel GNN for Accurate Brain-Tumor Localization in Multi-modal MRI
Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
Anomaly Detection in Anterior Eye Segment Using Self-supervised Siamese Autoencoders
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Finite Element Model of a Fetal Skull Subjected to Labour Forces
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT
A Comparative Study Towards the Establishment of an Automatic Retinal Vessel Width Measurement Technique
Interacting with Medical Volume Data in Projective Augmented Reality
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity
Medical Large Vision Language Models with Multi-image Visual Ability
Fusion of Histological Sections and MR Images: Towards the Construction of an Atlas of the Human Basal Ganglia
MEGFormer: Enhancing Speech Decoding from Brain Activity Through Extended Semantic Representations
A Deep Residual Architecture for Skin Lesion Segmentation
Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images
GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
Driving Points Prediction for Abdominal Probabilistic Registration
MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion
Deep Learning from Label Proportions for Emphysema Quantification
Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation
A Motion Adaptable Needle Placement Instrument Based on Tumor Specific Ultrasonic Image Segmentation
Robust Automatic C-Arm Calibration for Fluoroscopy-Based Navigation: A Practical Approach
Addressing Label Scarcity and Domain Shift in Medical Image Segmentation
Deep Neural Dynamic Bayesian Networks Applied to EEG Sleep Spindles Modeling
FSE Compensated Motion Correction for MRI Using Data Driven Methods
Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images
Test-Time Adaptation with Shape Moments for Image Segmentation
A Comparison of 2D-3D Intensity-Based Registration and Feature-Based Registration for Neurointerventions
Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis
More Than Meets the Eye: Analyzing Anesthesiologists' Visual Attention in the Operating Room Using Deep Learning Models
How Does the Camera Assistant Decide the Zooming Ratio of Laparoscopic Images? Analysis and Implementation
Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos
LEAVS: An LLM-Based Labeler for Abdominal CT Supervision
Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation
A Model for Some Subcortical DTI Planar and Linear Anisotropy
End-to-End Learning for Image-Based Detection of Molecular Alterations in Digital Pathology
Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy
Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model
Automatic Segmentation of Brain Tumor Using 3D SE-Inception Networks with Residual Connections
Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification
Left Ventricle Full Quantification Using Deep Layer Aggregation Based Multitask Relationship Learning
A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters
Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models
Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data
DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents
What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
Semi-supervised 3D Tooth Segmentation Using nn-UNet with Axial Attention and Positional Correction
Remote Ultrasound Palpation for Robotic Interventions Using Absolute Elastography
Augmented Reality in Neurovascular Surgery: First Experiences
Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction
Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR
Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis
Left Atrial Scar Segmentation and Quantification Using Residual CBAM-EAM Attention UNet for LGE MRI
Source-Relaxed Domain Adaptation for Image Segmentation
Robust Tissue Boundary Detection for Cerebral Cortical Thickness Estimation
Personalized Federated Side-Tuning for Medical Image Classification
Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation
WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference
Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images
A Stem Cell Harvesting Manipulator with Flexible Drilling Unit for Bone Marrow Transplantation
Reducing the Number of Leads for ECG Imaging with Graph Neural Networks and Meaningful Latent Space
Optimization in Prostate Cancer Detection
Interhemispheric Functional Connectivity in the Primary Motor Cortex Distinguishes Between Training on a Physical and a Virtual Surgical Simulator
Objective Evaluation of Facial Paralysis by Asymmetry in Expressions
A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation
Spectral Label Fusion
Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation
Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration
CT Prostate Deformable Segmentation by Boundary Regression
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection
Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography
Maximum a Posteriori Local Histogram Estimation for Image Registration
Automatic Segmentation of Hip Osteophytes in DXA Scans Using U-Nets
Simulation and Synthesis in Medical Imaging - Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings
Passive Markers for Ultrasound Tracking of Surgical Instruments
Edge Preserving Regularization and Tracking for Diffusion Tensor Imaging
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion
Multi-dimensional Parameter Space Exploration for Streamline-Specific Tractography
Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation
Continual Multiple Instance Learning for Hematologic Disease Diagnosis
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection
Image-Enhanced Capsule Endoscopy Preserving the Original Color Tones
STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model
Differential and Relaxed Image Foresting Transform for Graph-Cut Segmentation of Multiple 3D Objects
A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation
A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-contrast CT with Anatomy Simplification
Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
UM-SAM: Unsupervised Medical Image Segmentation Using Knowledge Distillation from Segment Anything Model
Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images
Simultaneous Estimation of Feature Correspondence and Stereo Object Pose with Application to Ultrasound Augmented Robotic Laparoscopy
Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation
A Clinical Measuring Platform for Building the Bridge Across the Quantification of Pathological N-Cells in Medical Imaging for Studies of Disease
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-recurrence Brain Tumor MRI Scans
Statistical Validation of Automated Probabilistic Segmentation against Composite Latent Expert Ground Truth in MR Imaging of Brain Tumors
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories
Deep Learning-Based Alignment Measurement in Knee Radiographs
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Automated Planning of Computer Assisted Mosaic Arthroplasty
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization
Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography
Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors
Development of a New Image-Guided Prostate Biopsy System
Contrastive Knowledge-Guided Large Language Models for Medical Report Generation
Displacement Correction Scheme for MR-Guided Interstitial Laser Therapy
Automated Image Rectification in Video-Endoscopy
A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics
Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy
Exogenous Agent-Free Synthetic Post-contrast Imaging with a Cascade of Deep Networks for Enhancement Prediction After Tumor Resection. A Parametric-Map Oriented Approach
Augmented Reality-Based Lung Ultrasound Scanning Guidance
Inter-subject Modelling of Liver Deformation During Radiation Therapy
Validation of the Automatic Computation of the Ejection Fraction from Cine-MRI
Deep Probabilistic Modeling of Glioma Growth
Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification
Progressive Learning for Neuronal Population Reconstruction from Optical Microscopy Images
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
A Vision Transformer Based Deep Learning Architecture for Automatic Diagnosis of Diabetic Retinopathy in Optical Coherence Tomography Angiography
Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction
Differences in Radiotherapy Delivery and Outcome Due to Contouring Variation
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows
3D Acetabular Surface Reconstruction from 2D Pre-operative X-Ray Images Using SRVF Elastic Registration and Deformation Graph
Scalable Unsupervised Domain Adaptation for Electron Microscopy
Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI
Population Based Analysis of Directional Information in Serial Deformation Tensor Morphometry
Separation of Benign and Malignant Glands in Prostatic Adenocarcinoma
Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition
Non-rigid Atlas-to-Image Registration by Minimization of Class-Conditional Image Entropy
New Partial Volume Estimation Methods for MRI MP2RAGE
Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph
Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
3D Brain Segmentation Using Active Appearance Models and Local Regressors
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-distillation
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000
An Active Hand-Held Instrument for Enhanced Microsurgical Accuracy
Conditional Shape Models for Cardiac Motion Estimation
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
Optimum Designed Micro Active Forceps with Built-in Fiberscope for Retinal Microsurgery
EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images
Assessment of Airway Remodeling in Asthma: Volumetric Versus Surface Quantification Approaches
Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images
Voxel-Level Importance Maps for Interpretable Brain Age Estimation
Heat Kernels with Functional Connectomes Reveal Atypical Energy Transport in Peripheral Subnetworks in Autism
Intervertebral Disc Segmentation Using Mathematical Morphology - A CNN-Free Approach
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy
Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation
End-to-End Boundary Aware Networks for Medical Image Segmentation
Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data
A Computer-Based Simulation of Obstetric Forceps Placement
Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness
Automatic Centerline Extraction of Irregular Tubular Structures Using Probability Volumes from Multiphoton Imaging
PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets
Exhaustive Search of the SNP-SNP Interactome Identifies Epistatic Effects on Brain Volume in Two Cohorts
Unsupervised Learning for Surgical Motion by Learning to Predict the Future
Exploring RSA Ultimate Accuracy by Using Computer Synthetic Images
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation
Registration of Pathological Images
Multi-model Ensemble Approach for Accurate Bi-Atrial Segmentation in LGE-MRI of Atrial Fibrillation Patients
Convex Segments for Convex Objects Using DNN Boundary Tracing and Graduated Optimization
Interaction Techniques for Immersive CT Colonography: A Professional Assessment
Detecting Cells in Histopathology Images with a ResNet Ensemble Model
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling
Automatic Labeling of Vascular Structures with Topological Constraints via HMM
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information
Reliable Assessment of Perfusivity and Diffusivity from Diffusion Imaging of the Body
Group Analysis of Resting-State fMRI by Hierarchical Markov Random Fields
Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
Development of 4D Human Body Model that Enables Deformation of Skin, Organ and Blood Vessel According to Dynamic Change
Cascaded Shape Regression for Automatic Prostate Segmentation from Extracorporeal Ultrasound Images
CACTUSS: Common Anatomical CT-US Space for US Examinations
Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment
Local Implicit Modeling of Blood Vessels for Interactive Simulation
Probabilistic Atlases to Enforce Topological Constraints
Structure-Preserving Image Translation for Depth Estimation in Colonoscopy
Fine-Grained Correlation Loss for Regression