yusuke1997/dblp-id-title huggingface dataset:
LiteTracker: Leveraging Temporal Causality for Accurate Low-Latency Tissue Tracking
A Viscous Fluid Model for Multimodal Non-rigid Image Registration Using Mutual Information
Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex
Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation
Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework
A Weakly Supervised Method for Instance Segmentation of Biological Cells
Scan-Do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent
Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
Rapid Voxel Classification Methodology for Interactive 3D Medical Image Visualization
Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-Based Edge Detection
Prompting Whole Slide Image Based Genetic Biomarker Prediction
Learning Volumetric Shape Super-Resolution for Cranial Implant Design
Proof of Concept of a Simple Computer-Assisted Technique for Correcting Bone Deformities
Biophysics-Based Data Assimilation of Longitudinal Tau and Amyloid-β PET Scans
Domain Adaptation for Ultrasound Beamforming
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI
Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography
Variational Topic Inference for Chest X-Ray Report Generation
Dynamic Gradient Sparsification Training for Few-Shot Fine-Tuning of CT Lymph Node Segmentation Foundation Model
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining
Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning
Analysis of the Striato-Thalamo-Cortical Connectivity on the Cortical Surface to Infer Biomarkers of Huntington's Disease
Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks
Motion Measurements in Low-Contrast X-ray Imagery
A Deformable CRF Model for Histopathology Whole-Slide Image Classification
Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images
MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention
A Surgery Simulation Supporting Cuts and Finite Element Deformation
Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification
SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
Sk-Unet Model with Fourier Domain for Mitosis Detection
Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis
Predicting Target Vessel Location for Improved Planning of Robot-Assisted CABG Procedures
Graph-Based Compression of Incomplete 3D Photoacoustic Data
Development and Evaluation of Intraoperative Ultrasound Segmentation with Negative Image Frames and Multiple Observer Labels
Active Learning for Scribble-Based Diffusion MRI Segmentation
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding
Task Fingerprinting for Meta Learning inBiomedical Image Analysis
EcoScale-Net: A Lightweight Multi-kernel Network for Long-Sequence 12-Lead ECG Classification
Biomechanically-Constrained 4D Estimation of Myocardial Motion
Collage CNN for Renal Cell Carcinoma Detection from CT
Co-registered Cardiac ex vivo DT Images and Histological Images for Fibrosis Quantification
Anatomy-Guided Brain Tumor Segmentation and Classification
Required Accuracy of MR-US Registration for Prostate Biopsies
Image Synthesis-Based Late Stage Cancer Augmentation and Semi-supervised Segmentation for MRI Rectal Cancer Staging
Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction
Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base
Thread the Needle: Genomics-Guided Prompt-Bridged Attention Model for Survival Prediction of Glioma Based on MRI Images
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries
Material Properties Estimation of Layered Soft Tissue Based on MR Observation and Iterative FE Simulation
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI
Cosmology Inspired Design of Biomimetic Tissue Engineering Templates with Gaussian Random Fields
Automatic Vessel Segmentation from Pulsatile Radial Distension
From Large to Small Organ Segmentation in CT Using Regional Context
Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
An Ensemble of 3D Residual Encoder UNet Models for Solving Multi-class Bi-atrial Segmentation Challenge
Bridging the Gap Between Paired and Unpaired Medical Image Translation
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
Cycle Context Verification for In-Context Medical Image Segmentation
Multimodal Hyper-connectivity Networks for MCI Classification
Deep Multimodal Guidance for Medical Image Classification
Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
Non-parametric Population Analysis of Cellular Phenotypes
GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration
Using Sulcal Basins for Analysing Functional Activations Patterns in the Human Brain
Visualization of Organ Motion during Breathing from 4D Datasets
Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients
A Mean Curvature Based Primal Sketch to Study the Cortical Folding Process from Antenatal to Adult Brain
SSL Based Encoder Pretraining for Segmenting a Heterogeneous Chronic Wound Image Database with Few Annotations
Adaptive Template Moderated Spatially Varying Statistical Classification
Semi-supervised Segmentation with Self-training Based on Quality Estimation and Refinement
PIANO: Perfusion Imaging via Advection-Diffusion
6DoF Catheter Detection, Application to Intracardiac Echocardiography
An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms
Data Augmentation for Skin Lesion Analysis
Enhancement of Needle Tip and Shaft from 2D Ultrasound Using Signal Transmission Maps
Generative Diffusion Model Bootstraps Zero-Shot Classification of Fetal Ultrasound Images in Underrepresented African Populations
MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion
Whole Heart Mesh Generation for Image-Based Computational Simulations by Learning Free-From Deformations
Incorporating Shape Variability in Image Segmentation via Implicit Template Deformation
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration
From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation
Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition
Deformable Reconstruction of Histology Sections Using Structural Probability Maps
The Effect of Visual and Haptic Feedback on Manual and Teleoperated Needle Insertion
Learning a Deformable Registration Pyramid
Surgical Skill Assessment via Video Semantic Aggregation
Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
Sensor Guided Ablation Procedure of Left Atrial Endocardium
An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network
Learning Generative Factors of EEG Data with Variational Auto-Encoders
Estimating Sheets in the Heart Wall
A Segmentation and Reconstruction Technique for 3D Vascular Structures
Hough Forests for Real-Time, Automatic Device Localization in Fluoroscopic Images: Application to TAVR
Augmented Environments for Computer-Assisted Interventions - 9th International Workshop, AE-CAI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings
Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks
Ultrasound Video Segmentation with Adaptive Temporal Memory
3D Elastic Registration of Vessel Lumen from IVUS Data on Biplane Angiography
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Prediction of Rib Motion During Free-Breathing from Liver Observations Using 4D MRI
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
Metric Space Structures for Computational Anatomy
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II
Real-Time Interactive Viewing of 4D Kinematic MR Joint Studies
Exercise Induced Inter-individual Variation of Right Ventricular Pressures: Simulations Using a Modular Model of the Cardiovascular System
SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image
Biomechanics-Informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity
Robotic Path Planning for Surgeon Skill Evaluation in Minimally-Invasive Sinus Surgery
Integrating Deformable Modeling with 3D Deep Neural Network Segmentation
Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF Microscopy
Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis
Multimodality for Diagnosis of Asian Choroidal Vasculopathy: Results from a Novel Dataset and Deep-Learning Experiments
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
A Medical Semantic-Assisted Transformer for Radiographic Report Generation
Iterative Closest Curve: A Framework for Curvilinear Structure Registration Application to 2D/3D Coronary Arteries Registration
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification
Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation
Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting
AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation
Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer
Active Shape Model-Based Segmentation of Digital X-ray Images
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
Mesh Topology Identification for Mass-Spring Models
Two-Stage Segmentation and Ensemble Modeling: Kidney Tumor Analysis in CT Images
Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke
Geometric Correspondence for Ensembles of Nonregular Shapes
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences
Isolating Moving Anatomy in Ultrasound Without Anatomical Knowledge: Application to Computer-Assisted Pericardial Punctures
An Analytical Method of Automatic Alignment for Electron Tomography
Path Planning for Multi-port Lateral Skull Base Surgery Based on First Clinical Experiences
Automatic Meshing of Femur Cortical Surfaces from Clinical CT Images
Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis
In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI
Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery
Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs
System Design of a Hand-Held Mobile Robot for Craniotomy
Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II
Robust Multiple Sclerosis Lesion Inpainting with Edge Prior
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification
Online Learning in Motion Modeling for Intra-interventional Image Sequences
Multi-level Graph Representations of Melanoma Whole Slide Images for Identifying Immune Subgroups
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation
White Matter Fiber Representation Using Continuous Dictionary Learning
Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions
Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss
AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-Rays
A Statistical Model of Shape and Bone Mineral Density Distribution of the Proximal Femur for Fracture Risk Assessment
Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
Symmetrization of the Non-rigid Registration Problem Using Inversion-Invariant Energies: Application to Multiple Sclerosis
CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation
A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance
Automatic Detection of Wrist Fractures From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach
Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle
Coronary R-CNN: Vessel-Wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography
Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability
Mask Embedding for Realistic High-Resolution Medical Image Synthesis
Achieving Fluid Detection by Exploiting Shadow Detection Methods
EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function
Automatic Detection of Misalignment in Rigid 3D-2D Registration
"Evaluating Acquisition Time of rfMRI in the Human Connectome Project for Early Psychosis. How Much Is Enough?"
Hybrid Local-Window-Attention-Assisted U-Net Model for Multimodal Medical-Image Segmentation
Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage
Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images
Modeling the Human Aorta for MR-Driven Real-Time Virtual Endoscopy
Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation
Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach
Topology-Aware Deep Models for Skin Lesion Classification
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Self-training Based Semi-Supervised Learning and U-Net with Denoiser for Teeth Segmentation in X-Ray Image
FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI
Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT - MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network
A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes
PitVQA: Image-Grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution Using Conditional Diffusion Model
VT-SNN: Variable Time-Step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis
Robust Atlas-Based Brain Segmentation Using Multi-structure Confidence-Weighted Registration
Automatic Multi-model-Based Segmentation of the Left Atrium in Cardiac MRI Scans
Endoscopic Navigation for Minimally Invasive Suturing
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning
Automatic Airway Segmentation in Chest CT Using Convolutional Neural Networks
Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data
Self-supervised Learning for Endoscopic Video Analysis
Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation
Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model
Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics
Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis
Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts
Image Segmentation Based on the Integration of Markov Random Fields and Deformable Models
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks
PET Image Denoising with Score-Based Diffusion Probabilistic Models
Mining Negative Temporal Contexts for False Positive Suppression in Real-Time Ultrasound Lesion Detection
Minimum Average-Cost Path for Real Time 3D Coronary Artery Segmentation of CT Images
Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint
Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
A Dataset and Benchmark for Enhancing Retained Foreign Object Detection Through Physics-Based Image Synthesis
Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response
Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy
Incorporating Spatial Priors into an Information Theoretic Approach for f MRI Data Analysis
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration
Future Slot Prediction for Unsupervised Object Discovery in Surgical Video
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
Progressive Attenuation Fields: Fast 2D-3D Image Registration Without Precomputation
M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19
A Two-Stage Cascaded Deep Neural Network with Multi-decoding Paths for Kidney Tumor Segmentation
Fiducial-Less Respiration Tracking in Radiosurgery
Spatio-temporal Registration of Real Time 3D Ultrasound to Cardiovascular MR Sequences
Hierarchical Self-supervised Adversarial Training for Robust Vision Models in Histopathology
MommiNet: Mammographic Multi-view Mass Identification Networks
An Automatic Free Fluid Detection for Morrison's-Pouch
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Left Ventricle Full Quantification via Hierarchical Quantification Network
MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks
Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN
An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery
Feature Selection for Privileged Modalities in Disease Classification
Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning
Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network
Trans-urethral Ultrasound: A New Tool for Diagnostic and Therapeutic Imaging in Prostate Cancer
Privacy Preserving Chest X-Ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction
Towards Intra-operative PET for Head and Neck Cancer: Lymph Node Localization Using High-Energy Probes
Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features
FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation
Location Registration and Recognition (LRR) for Longitudinal Evaluation of Corresponding Regions in CT Volumes
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree
Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification
Registration of 3D Photographs with Spiral CT Images for Soft Tissue Simulation in Maxillofacial Surgery
Fast Regions-of-Interest Detection in Whole Slide Histopathology Images
Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences
Conditional Iterative α-(de)Blending Model for CBCT-to-sCT Synthesis: Towards a Deterministic and Simple Process
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos
Segmentation Style Discovery: Application to Skin Lesion Images
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography