yusuke1997/dblp-id-title huggingface dataset:
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification
Prior-Aware Cross Pseudo Supervision for Semi-supervised Tooth Segmentation
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images
Improving Segmentation of Hypoxic Ischemic Encephalopathy Lesions by Heavy Data Augmentation: Contribution to the BONBID Challenge
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network
Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss
Segmentation of Thalamic Nuclei from DTI Using Spectral Clustering
Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images
Panoramic Views for Virtual Endoscopy
The Role of Insertion Points in the Detection and Positioning of Instruments in Laparoscopy for Robotic Tasks
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation
Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder
2D/3D Registration of TEE Probe from Two Non-orthogonal C-Arm Directions
A 4D Statistical Shape Model for Automated Segmentation of Lungs with Large Tumors
Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos
Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation
Detecting Mechanical Abnormalities in Prostate Tissue Using FE-Based Image Registration
Masked Autoencoders for Medical Ultrasound Videos Using ROI-Aware Masking
Development of a Training System for Cardiac Muscle Palpation
μ 2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
Validating Digital Twins with Tactile-Visual Liver Phantoms for Robot-Assisted Surgical Workflows
Needle Steering and Model-Based Trajectory Planning
A Curriculum Learning Based Approach to Captioning Ultrasound Images
Feature Preserving Smoothing Provides Simple and Effective Data Augmentation for Medical Image Segmentation
HyperMM: Robust Multimodal Learning with Varying-Sized Inputs
MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse Events with Causal Reasoning and De-confounding
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
Unified Multi-modal Learning for Any Modality Combinations in Alzheimer's Disease Diagnosis
Quantification of Retinopathy of Prematurity via Vessel Segmentation
Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach
A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
PET/CT Head and Neck Tumor Segmentation and Progression Free Survival Prediction Using Deep and Machine Learning Techniques
Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification
Graph Conditioned Diffusion for Controllable Histopathology Image Generation
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction
Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment
VETOT, Volume Estimation and Tracking Over Time: Framework and Validation
Deep Small Bowel Segmentation with Cylindrical Topological Constraints
Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?
Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic Images
SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays
Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling
Phase-Based User-Steered Image Segmentation
Thermal Radiomics for Improving the Interpretability of Breast Cancer Detection from Thermal Images
3D Dynamic Roadmapping for Abdominal Catheterizations
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM
End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers
Spatial-temporal Pharmacokinetic Model Based Registration of 4D Brain PET Data
TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction
Multi-Organ Segmentation with Missing Organs in Abdominal CT Images
Non-rigid Registration of 3D Multi-channel Microscopy Images of Cell Nuclei
Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model
DWI Denoising Using Spatial, Angular, and Radiometric Filtering
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks
Multimodal Imputation of Imaging-Derived Phenotypes from Genomic and Blood-Based Biomarkers Enhances Common Disease Discovery
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration
Interface Detection in Diffusion Tensor MRI
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net
Rapid Acceleration of the Permutation Test via Transpositions
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography
Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-Based Alzheimer's Disease Classification
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
Brain Tumor Survival Prediction Using Radiomics Features
4-D Tomographic Representation of Coronary Arteries from One Rotational X-Ray Sequence
Personalized Diagnosis for Alzheimer's Disease
Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI Analysis
Real-Time Augmented Reality for Ear Surgery
Dual-Robotic Ultrasound System for In Vivo Prostate Tomography
Automated Detection and Diagnosis of Crohn's Disease in CT Enterography
RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
Towards Intra-operative 3D Nuclear Imaging: Reconstruction of 3D Radioactive Distributions Using Tracked Gamma Probes
Integrating Fiber Orientation Constraint into a Spatio-temporal FEM Model for Heart Borders and Motion Tracking in Dynamic MRI
Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture
PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection
Vector Quantisation for Robust Segmentation
Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images
Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration
Unpaired Synthetic Image Generation in Radiology Using GANs
Instrument Tracking with Rigid Part Mixtures Model
PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
Automated 3D Tumor Segmentation Using Temporal Cubic PatchGAN (TCuP-GAN)
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction
Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis Across MRI, CT and PET
Adaptive Multispectral Illumination for Retinal Microsurgery
Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles
Boundary and Medial Shape Analysis of the Hippocampus in Schizophrenia
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation
Brain Atlas Deformation in the Presence of Large Space-occupying Tumors
Embracing Massive Medical Data
Reinforcement Learning for Context Aware Segmentation
Privacy-Centric Seizure Diagnosis via Relation-Aware Fusion of Minimally-Invasive Modalities
Deep Learning-Based Air Trapping Quantification Using Paired Inspiratory-Expiratory Ultra-low Dose CT
Robust Spectral Denoising for Water-Fat Separation in Magnetic Resonance Imaging
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000, Third International Conference, Pittsburgh, Pennsylvania, USA, October 11-14, 2000, Proceedings
Colorectal Polyp Classification from White-Light Colonoscopy Images via Domain Alignment
Treat: A Unified Text-Guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning
Automated Skin Biopsy Analysis with Limited Data
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet
PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning
ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation
Parallel Capsule Networks for Classification of White Blood Cells
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT
Reconstruction of 3-D Histology Images by Simultaneous Deformable Registration
The AAM-API: An Open Source Active Appearance Model Implementation
FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates
Visual Modalities Based Multimodal Fusion for Surgical Phase Recognition
Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging
AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Automatic Registration and Fusion of Ultrasound with CT for Radiotherapy
Enjoying Information Dividend: Gaze Track-Based Medical Weakly Supervised Segmentation
Automatic 3-D Positioning of Surgical Instruments during Robotized Laparoscopic Surgery Using Automatic Visual Feedback
Prediction of Brain MR Scans in Longitudinal Tumor Follow-Up Studies
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue
Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification
Effective Semantic Segmentation in Cataract Surgery: What Matters Most?
Species-Preserved Structural Connections Revealed by Sparse Tensor CCA
Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain
Evaluating GANs in Medical Imaging
Imaging Biomarker Knowledge Transfer for Attention-Based Diagnosis of COVID-19 in Lung Ultrasound Videos
A Passive Positioning and Supporting Device for Surgical Robots and Instrumentation
Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms
Learning to Segment Anatomical Structures Accurately from One Exemplar
Fast and Accurate Connectivity Analysis Between Functional Regions Based on DT-MRI
Kvasir-VQA-x1:A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy
Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology-Informed Domain Randomization
GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction
On the Dataset Quality Control for Image Registration Evaluation
Cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening
Graph Transformers for Characterization and Interpretation of Surgical Margins
Cell Detection and Segmentation Using Correlation Clustering
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation
Finding the Optimal Compression Level for Strain-Encoded (SENC) Breast MRI; Simulations and Phantom Experiments
Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided Radiotherapy
3D Choroid Neovascularization Growth Prediction with Combined Hyperelastic Biomechanical Model and Reaction-Diffusion Model
Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps
Spatial-Angular Sparse Coding for HARDI
A Robust Deep Learning Method for WSI-Level Diseased Glomeruli Segmentation
Caudate Shape Discrimination in Schizophrenia Using Template-Free Non-parametric Tests
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation
Automatic Dry Eye Detection
Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis - First International Workshop, RIME 2025, and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Attenuation Resilient AIF Estimation Based on Hierarchical Bayesian Modelling for First Pass Myocardial Perfusion MRI
Uncertainty-Aware Classification: A Human-Guided Bayesian Deep Learning Framework
Two-Stage Hybrid Supervision Framework for Fast, Low-Resource, and Accurate Organ and Pan-Cancer Segmentation in Abdomen CT
Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants
Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification
Symptom Disentanglement in Chest X-Ray Images for Fine-Grained Progression Learning
Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory
Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment
Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models
Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence
Framework for Fusion of Data- and Model-Based Approaches for Ultrasound Simulation
Dual-Branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images
Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks
Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery
Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function
Semi-automatic Discrimination of Normal Tissue and Liver Cancer Lesions in Contrast Enhanced X-Ray CT-Scans
Robustness and Diagnostic Performance of Super-Resolution Fetal Brain MRI
De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Learning Rich Attention for Pediatric Bone Age Assessment
Empirical Bayesian Mixture Models for Medical Image Translation
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge
Groupwise Segmentation with Multi-atlas Joint Label Fusion
Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation
Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting
Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images
Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models
LBM-EP: Lattice-Boltzmann Method for Fast Cardiac Electrophysiology Simulation from 3D Images
GBM Modeling with Proliferation and Migration Phenotypes: A Proposal of Initialization for Real Cases
Teichmüller Shape Space Theory and Its Application to Brain Morphometry
Muliscale Vessel Enhancement Filtering
Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer
Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation
MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
DINO-Reg: General Purpose Image Encoder for Training-Free Multi-modal Deformable Medical Image Registration
The Endoscopogram: A 3D Model Reconstructed from Endoscopic Video Frames
A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery
2D+T Acoustic Boundary Detection in Echocardiography
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX
MoMIL: Mixture of Multi-instance Learners for Modeling Multiple Compound Activities in High Content Imaging
Geodesic Active Contours with Adaptive Neighboring Influence
Left Ventricular Segmentation Challenge from Cardiac MRI: A Collation Study
UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation
Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs
Semi-supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints
Interactive Simulation of Embolization Coils: Modeling and Experimental Validation
The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
The Colored X-Rays
Example-Based Assisting Approach for Pulmonary Nodule Classification in 3-D Thoracic CT Images
Attention-Driven Deep Learning for Pathological Spine Segmentation
A 3D Ultrasound Informed Model of the Human Gastrocnemius Muscle
Image-Based Bronchial Anatomy Codification for Biopsy Guiding in Video Bronchoscopy
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries
Surgical Vision World Model
Inter Subject Registration of Functional and Anatomical Data Using SPM
EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study
Multimodality Frequency Feature Customized Learning for Pediatric Ventricular Septal Defects Identification
Ocular Control Characterization of Motor Disabilities: The Cerebral Palsy Case
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps
Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation
Endoscopic Orientation Correction
Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling
Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model
Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets
Non-Local Means Variants for Denoising of Diffusion-Weighted and Diffusion Tensor MRI
Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural Network
ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs
Organ Segmentation from 3D Abdominal CT Images Based on Atlas Selection and Graph Cut
Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
UPCMR: A Universal Prompt-Guided Model for Random Sampling Cardiac MRI Reconstruction
VAMPIRE: Improved Method for Automated Center Lumen Line Definition in Atherosclerotic Carotid Arteries in CTA Data
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Multi-modal Representations for Fine-Grained Multi-Label Critical View of Safety Recognition
Medical Image Computing and Computer-Assisted Intervention - MICCAI'99, Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings
Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection
Using Training Samples as Transitive Information Bridges in Predicted 4D MRI
Development of a Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation
PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism
Cascade UNet and CH-UNet for Thyroid Nodule Segmentation and Benign and Malignant Classification
Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification
Detecting Early Choroidal Changes Using Piecewise Rigid Image Registration and Eye-Shape Adherent Regularization
Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction
A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage
Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability
Detection of DTI White Matter Abnormalities in Multiple Sclerosis Patients
Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Adaptive Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion
Modeling and Analysis of Ultrasonic Echoes Reflected from a Surface under Two Layers
Unsupervised Domain Transfer with Conditional Invertible Neural Networks
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI
End-to-End Myocardial Infarction Classification from Echocardiographic Scans
Rethinking Abdominal Organ Segmentation (RAOS) in the Clinical Scenario: A Robustness Evaluation Benchmark with Challenging Cases
Fully Automating Graf's Method for DDH Diagnosis Using Deep Convolutional Neural Networks
Towards a Fast and Safe LED-Based Photoacoustic Imaging Using Deep Convolutional Neural Network
q-Space Upsampling Using x-q Space Regularization
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
Dynamic Active Constraints for Hyper-Redundant Flexible Robots
Riemannian Metric Optimization for Connectivity-Driven Surface Mapping