yusuke1997/dblp-id-title huggingface dataset:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II
Topological Learning and Its Application to Multimodal Brain Network Integration
Evaluation of iLogDemons Algorithm for Cardiac Motion Tracking in Synthetic Ultrasound Sequence
Reconstruction of the Central Layer of the Human Cerebral Cortex from MR Images
CanDLE: Illuminating Biases in Transcriptomic Pan-Cancer Diagnosis
Decoupled Consistency for Semi-supervised Medical Image Segmentation
Discrimination of Volumetric Shapes Using Orthogonal Tensor Decomposition
Asymmetric Image-Template Registration
Joint Longitudinal Modeling of Brain Appearance in Multimodal MRI for the Characterization of Early Brain Developmental Processes
Mr. Silva and Patient Zero: A Medical Social Network and Data Visualization Information System
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas
Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts
Paediatric Liver Segmentation for Low-Contrast CT Images
Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography
Combining Self-training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
Personalized Surgical Planning to Support Interventions and Training of Surgeons - Biomodels for Planning and Guidance
Automatic Classification of Linear Structures in Mammographic Images
Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks
Composition of Transformations in the Registration of Sets of Points or Oriented Points
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement
Cortical Envelope Modeling for Interactive Patient-Customized Curvilinear Reformatting in the Native Space
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline
Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification
Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration
Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI
DeformMLP: Effective Deformation Prediction for Breast Cancer Using Graph Topology-Assisted MLPs
Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network
Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep Learning
Detection of Ischemic Infarct Core in Non-contrast Computed Tomography
Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening
SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views
Forward-Solution Aided Deep-Learning Framework for Patient-Specific Noninvasive Cardiac Ectopic Pacing Localization
Temporal Correlation Structure Learning for MCI Conversion Prediction
MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction
Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images
A Two-Stage Self-Supervised Learning Framework for Automated Whole Heart Segmentation in CT and MRI: Addressing Challenges in Cardiac Imaging
Using Statistical Shape Analysis for the Determination of Uterine Deformation States During Hydrometra
Target Prior-Enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation
Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos
A Computer-Aided Design System for Revision of Segmentation Errors
Image-Based Respiratory Motion Compensation for Fluoroscopic Coronary Roadmapping
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Robust Ultrasound-to-Ultrasound Registration for Intra-operative Brain Shift Correction with a Siamese Neural Network
Unsupervised Representation Learning of Cingulate Cortical Folding Patterns
KAM - A Kernel Attention Module for Emotion Classification with EEG Data
PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
Neighbourhood Approximation Forests
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas
Comprehensive Analysis and Computing of Real-World Medical Images - First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
In Vivo OCT Coronary Imaging Augmented with Stent Reendothelialization Score
Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease
TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound
Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation
Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral
A Multiphysics Simulation of a Healthy and a Diseased Abdominal Aorta
Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection
Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation
Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
Phase-Independent Latent Representation for Cardiac Shape Analysis
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields
Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images
Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels
Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation
Accelerating Geometry-Based Spherical Harmonics Glyphs Rendering for dMRI Using Modern OpenGL
Learning Context Cues for Synapse Segmentation in EM Volumes
Expert Knowledge Guided Segmentation System for Brain MRI
Numerical Simulation of Ultrasonic Backscattering During Fracture Healing Using Numerical Models Based on Scanning Acoustic Microscopy Images
Clustering-Based Multi-instance Learning Network for Whole Slide Image Classification
Predicting Stroke Through Retinal Graphs and Multimodal Self-supervised Learning
Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials
A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in Gyri
Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database
Realistic Simulated MRI and SPECT Databases
Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks
Anisotropic Interpolation of DT-MRI
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions
A Large-Scale Neural Model Inversion Framework for Effective Connectivity Estimation
Wavelet Compression of Active Appearance Models
Identification of Atherosclerotic Lesion-Prone Sites through Patient-Specific Simulation of Low-Density Lipoprotein Accumulation
Real-Time 4D Tumor Tracking and Modeling from Internal and External Fiducials in Fluoroscopy
EMA: Auditing Data Removal from Trained Models
Unsupervised Domain Adaption via Similarity-Based Prototypes for Cross-Modality Segmentation
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
Nodule Detection in Postero Anterior Chest Radiographs
EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
Deep Learning Framework for Managing Inter-reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography
Schwarz Meets Schwann: Design and Fabrication of Biomorphic Tissue Engineering Scaffolds
CS 2 : A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
EUReg: End-to-End Framework for Efficient 2D-3D Ultrasound Registration
Simultaneous Segmentation and Registration for Medical Image
Segmentation of the Left Atrium from 3D Gadolinium-Enhanced MR Images with Convolutional Neural Networks
Correction of Slice Misalignment in Multi-breath-hold Cardiac MRI Scans
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition
4D Multi-atlas Label Fusion Using Longitudinal Images
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I
Explainable Disease Classification via Weakly-Supervised Segmentation
From Thresholds to Teachers: Correcting Unsupervised Learning for Arterial Calcifications in CTA
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks
MOST: MR Reconstruction Optimization for Multiple DownStream Tasks via Continual Learning
A Neural Framework for Multi-variable Lesion Quantification Through B-Mode Style Transfer
Unlabeled Data-Driven Fetal Landmark Detection in Intrapartum Ultrasound
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time
Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis
Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery
Volumetric Myocardial Mechanics from 3D+t Ultrasound Data with Multi-model Tracking
RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation
Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
Computational Diffusion MRI - 16th International Workshop, CDMRI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation
Parametric Representation of Cortical Surface Folding Based on Polynomials
Deep Retinal Image Understanding
Stochastic Inverse Consistency in Medical Image Registration
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification
Low-Rank and Sparse Matrix Decomposition for Compressed Sensing Reconstruction of Magnetic Resonance 4D Phase Contrast Blood Flow Imaging (LoSDeCoS 4D-PCI)
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
A Random Forest Based Approach for One Class Classification in Medical Imaging
Prior-Guided Prototype Aggregation Learning for Alzheimer's Disease Diagnosis
Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images
Context-Aware Voxel-Wise Contrastive Learning for Label Efficient Multi-organ Segmentation
Estimating Continuous 4D Wall Motion of Cerebral Aneurysms from 3D Rotational Angiography
Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images
Artificially Enlarged Training Set in Image Segmentation
Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery
Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network
MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification
Complete Valvular Heart Apparatus Model from 4D Cardiac CT
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization
Geometry-Invariant Abnormality Detection
Temporal Neighboring Multi-modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation
M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer
Multiresolution Image Registration Based on Kullback-Leibler Distance
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
Confidence in Angle Predictions for Clinical Decision Support
Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI
Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors
Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation
Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets
Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification
CDe: Focus on the Color Differences in Diabetic Foot Images
Realistic Endoscopic Illumination Modeling for NeRF-Based Data Generation
Ligament Strains Predict Knee Motion After Total Joint Replacement
Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy
Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy
Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration
Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion
Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation
Weakly-Supervised Learning for Single-Step Quantitative Susceptibility Mapping
Data-Driven Learning to Detect Characteristic Kinetics in Ultrasound Images of Arthritis
Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images
Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations
Post-Operative Measurement of Acetabular Cup Position Using X-Ray/CT Registration
A New Dynamic FEM-Based Subdivision Surface Model for Shape Recovery and Tracking in Medical Images
Quantification of Cerebral Grey and White Matter Asymmetry from MRI
Evaluation of Electromagnetic Tracking for Stereoscopic Augmented Reality Laparoscopic Visualization
Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection
Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography
Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis
Tensor Metrics and Charged Containers for 3D Q-space Sample Distribution
Integrated Approach for Matching Statistical Shape Models with Intra-operative 2D and 3D Data
Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network
Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method
Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans
3D Deeply-Supervised U-Net Based Whole Heart Segmentation
Ablation Monitoring with Elastography: 2D In-vivoand 3D Ex-vivoStudies
DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale
A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images
Continual Learning of New Diseases with Dual Distillation and Ensemble Strategy
Dinov2_Mask R-CNN: Self-supervised Instance Segmentation of Diabetic Foot Ulcers
Volumetric Adversarial Training for Ischemic Stroke Lesion Segmentation
MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network
Simultaneous Reconstruction of Tissue Attenuation and Radioactivity Maps in SPECT
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
Cardiac Motion Recovery: Continuous Dynamics, Discrete Measurements, and Optimal Estimation
Comparison of Two Restoration Techniques in the Context of 3D Medical Imaging
Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression
Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation
Harmonic Balance Techniques in Cardiovascular Fluid Mechanics
Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks
Diffusion MRI Automated Region of Interest Analysis in Standard Atlas Space versus the Individual's Native Space
Medical Image Processing and Numerical Simulation for Digital Hepatic Parenchymal Blood Flow
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations
PeekNet: A Power and Efficiency-Enhanced Knowledge-Aware Network for Real-Time Capsule Endoscopy Image Classification
A Noise-Level-Aware Framework for PET Image Denoising
Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination
Anti-forgetting Test-Time Adaptation for Robust Medical Image Analysis Under Distribution Shift
A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification
3D Teeth Reconstruction from Panoramic Radiographs Using Neural Implicit Functions
Dynamic CT Reconstruction by Smoothed Rank Minimization
Lateral Ventricle Segmentation of 3D Pre-term Neonates US Using Convex Optimization
Deep Gated Convolutional Neural Network for QSM Background Field Removal
Detection of Substances in the Left Atrial Appendage by Spatiotemporal Motion Analysis Based on 4D-CT
Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes
A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data
Mesh Registration via Geometric Feature Homogenization and Offset Cross-Attention: Application to 3D Photogrammetry
A Novel Framework for Integrating 3D Ultrasound Into Percutaneous Liver Tumour Ablation
A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences
Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation
Image and Physiological Data Fusion for Guidance and Modelling of Cardiac Resynchronization Therapy Procedures
Detecting and Tracking Motion of Myxococcus xanthus Bacteria in Swarms
MenUnet: An End-to-End 3D Neural Network for Meningioma Segmentation from Multiparametric MRI
Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models
On Biases in a UK Biobank-Based Retinal Image Classification Model
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
Vessel and Intracranial Aneurysm Segmentation Using Multi-range Filters and Local Variances
Sex-Based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures
From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks
Using Deep Learning to Classify Burnt Body Parts Images for Better Burns Diagnosis
Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis
Deep Parametric Mixtures for Modeling the Functional Connectome
Structure and Context in Prostatic Gland Segmentation and Classification
Thermal Vision for Sleep Apnea Monitoring
A Lesion-Aware Edge-Based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia
Choosing a Tractography Algorithm: On the Effects of Measurement Noise
A Morphological Atlas of Prostate's Zonal Anatomy for Construction of Realistic Digital and Physical Phantoms
Enhancing Label-Efficient Medical Image Segmentation with Text-Guided Diffusion Models
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases
Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging
Cross-Domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography
Second-Course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information
Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation
Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model
: Multi-subject Registration for Unbiased Statistical Atlas Construction
Modelling Surgical Cuts, Retractions, and Resections via Extended Finite Element Method
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention
Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading
Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings
A New Robotic System for Visually Controlled Percutaneous Inerventions under CT Fluoroscopy
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III
MASSM: An End-to-End Deep Learning Framework for Multi Anatomy Statistical Shape Modeling Directly From Images
A Comparison of Breast Tissue Classification Techniques
Cortical Folding Analysis on Patients with Alzheimer's Disease and Mild Cognitive Impairment
Augmented Vessels for Pre-operative Preparation in Endovascular Treatments
3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images
Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
Automatic Tracking of an Organ Section with an Ultrasound Probe: Compensation of Respiratory Motion
Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data
Non-rigid Image Registration with Uniform Gradient Spherical Patterns
Convolutional Implicit Neural Representation of Pathology Whole-Slide Images
Exploratory Population Analysis with Unbalanced Optimal Transport
Hardware Acceleration of Persistent Homology Computation