yusuke1997/dblp-id-title huggingface dataset:
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images
Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion
Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning
Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features
Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules
A Heat Kernel Based Cortical Thickness Estimation Algorithm
Non-parametric Diffeomorphic Image Registration with the Demons Algorithm
A 4D Hyperspherical Interpretation of q-space
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images
Deep Self-supervised Learning for Ultra-widefield Fundus Image Quality Assessment
2.5D U-Net for Abdominal Multi-organ Segmentation
Accessible Otitis Media Screening with a Deep Learning-Powered Mobile Otoscope
Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification
Automatic Recognition of Cortical Sulci Using a Congregation of Neural Networks
Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration
Computer-Assisted Soft-Tissue Surgery Training and Monitoring
Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling
Diagnostic Radiograph Based 3D Bone Reconstruction Framework: Application to Osteotomy Surgical Planning
Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases
Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson's Disease
Augmented Reality Image Overlay Projection for Image Guided Open Liver Ablation of Metastatic Liver Cancer
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model
Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
An Automatic Multi-atlas Segmentation of the Prostate in Transrectal Ultrasound Images Using Pairwise Atlas Shape Similarity
4D Automatic Centre Detection of the Right and Left Ventricles from Cine Short-Axis MRI
Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays
Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction
Searching for Structures of Interest in an Ultrasound Video Sequence
Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images
Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer
Deep Association Multimodal Learning for Zero-Shot Spatial Transcriptomics Prediction
Automated Measurements of Key Morphological Features of Human Embryos for IVF
A Cascade Regression Model for Anatomical Landmark Detection
Predicting Scoliosis in DXA Scans Using Intermediate Representations
Lung Ultrasound Segmentation and Adaptation Between COVID-19 and Community-Acquired Pneumonia
SP-NAS: Surgical Phase Recognition-Based Navigation Adjustment System for Distal Gastrectomy
Patient-Specific Cranial Nerve Identification Using a Discrete Deformable Contour Model for Skull Base Neurosurgery Planning and Simulation
4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures
Detecting Myocardial Infarction Using Medial Surfaces - LV Statistical Modelling Challenge: Myocardial Infarction
Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells
Probabilistic 3D Surface Reconstruction from Sparse MRI Information
Registration Using Segment Intensity Remapping and Mutual Information
A Generative Model for Probabilistic Label Fusion of Multimodal Data
Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI
Efficient Parallel Transport in the Group of Diffeomorphisms via Reduction to the Lie Algebra
Remote Analysis for Brain Shift Compensation
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy Using Deep Learning
vMFNet: Compositionality Meets Domain-Generalised Segmentation
Registration and Visualization of Transcranial Magnetic Stimulation on MR Images
Point Set Registration Metrics Reloaded for Computer-Assisted Surgery
A Riemannian Framework for Orientation Distribution Function Computing
Imaging Metabolism with Light: Quantifying Local Fluorescence Lifetime Perturbation in Tissue-like Turbid Media
Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models
Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT Images
Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks
Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction
Modeling Longitudinal Voxelwise Feature Change in Normal Aging with Spatial-Anatomical Regularization
Treatment Efficacy Prediction of Focused Ultrasound Therapies Using Multi-parametric Magnetic Resonance Imaging
Regularization of MR Diffusion Tensor Maps for Tracking Brain White Matter Bundles
3D Reconstruction of Coronary Veins from a Single X-Ray Fluoroscopic Image and Pre-operative MR
OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-Aware Optimal Transport
Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation
SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma
Left Atrial Wall Segmentation from CT for Radiofrequency Catheter Ablation Planning
Spline-Based Shape Compression for Interventional Device Tracking
Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction
Estimation of Extracellular Volume from Regularized Multi-shell Diffusion MRI
MRI-Based Thickness Analysis of Bladder Cancer: A Pilot Study
Local Speed Functions in Level Set Based Vessel Segmentation
Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy
Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity
Automatic Assessment of Cardiac Perfusion MRI
Semi-supervised Nasopharyngeal Carcinoma Lesion Extraction from Magnetic Resonance Images Using Online Spectral Clustering with a Learned Metric
Visualization and Quantification of Placental Vasculature Using MRI
Boundary Feature Fusion Network for Tooth Image Segmentation
Correction of Probe Pressure Artifacts in Freehand 3D Ultrasound
Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS
A Device-Agnostic Deep Learning Approach for Predicting Ci-DME Onset Using UWF-CFP Images
Real Time Multi Organ Classification on Computed Tomography Images
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification
ASC-Net: Adversarial-Based Selective Network for Unsupervised Anomaly Segmentation
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis
Subtyping Breast Lesions via Generative Augmentation Based Long-Tailed Recognition in Ultrasound
HistoGraphCoarse: Strategizing Graph Coarsening Techniques for Efficient Analysis of Gigapixel Histopathological Images
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities
Morphometric Sex Estimation from the Hip Bone by Means of the HIP 1.1 Software
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks
Using Elastix to Register Inhale/Exhale Intrasubject Thorax CT: A Unsupervised Baseline to the Task 2 of the Learn2Reg Challenge
Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space
Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains
Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI
FADR: Functional-Anatomical Discriminative Regions for Rest fMRI Characterization
Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography
Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression
How to Exploit Weaknesses in Biomedical Challenge Design and Organization
Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study
Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net
Fiber Bundle Estimation and Parameterization
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets
An Anthropomorphic Polyvinyl Alcohol Triple-Modality Brain Phantom Based on Colin27
Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information
A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI Tractography
Mono-Modalizing Extremely Heterogeneous Multi-modal Medical Image Registration
Bioelectric Navigation: A New Paradigm for Intravascular Device Guidance
System of Modeling and Visualization of Domain of the Heart Excitation
Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network
Modeling Drug Effects on Personalized 3D Models of the Heart: A Simulation Study
Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Segmentation of Intraoperative 3D Ultrasound Images Using a Pyramidal Blur-Pooled 2D U-Net
Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder
Deformable Registration of a Preoperative 3D Liver Volume to a Laparoscopy Image Using Contour and Shading Cues
Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion
Detecting Brain Activation in fMRI Using Group Random Walker
A Method Towards Cerebral Aneurysm Detection in Clinical Settings
Real Time Image-Based Tracking of 4D Ultrasound Data
Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching
GPNLPerf: Robust 4d Non-rigid Motion Correction for Myocardial Perfusion Analysis
Impact of Radial and Angular Sampling on Multiple Shells Acquisition in Diffusion MRI
Adaptive Script Based Animations for Intervention Planning
Semantic Analysis of 3D Anatomical Medical Images for Sub-image Retrieval
ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer
Elastic Matching Using a Deformation Sphere
Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More
Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge
FetusMap: Fetal Pose Estimation in 3D Ultrasound
Robust Fetal Pose Estimation Across Gestational Ages via Cross-Population Augmentation
Analysis of Forces during Robotic Needle Insertion to Human Vertebra
Design and Control of In-Vivo Magnetic Microrobots
DAPR-Net: Domain Adaptive Predicting-Refinement Network for Retinal Vessel Segmentation
Development of Semi-autonomous Control Modes in Laparoscopic Surgery Using Automatic Visual Servoing
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
Detecting Bladder Abnormalities Based on Inter-layer Intensity Curve for Virtual Cystoscopy
Active Transfer Learning for 3D Hippocampus Segmentation
Pre-to-Post Operative MRI Generation with Retrieval-Based Visual In-Context Learning
Evaluating the Role of Vision and Force Feedback in Minimally Invasive Surgery: New Automated Laparoscopic Grasper and A Case Study
Graph Neural Networks for Modelling Breast Biomechanical Compression
CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening
Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
Vessel Axis Determination Using Wave Front Propagation Analysis
SimCortex: Collision-Free Simultaneous Cortical Surfaces Reconstruction
The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures
Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI
A Data-Centric Approach for Segmenting the Aortic Vessel Tree: A Solution to SEG.A. Challenge 2023 Segmentation Task
Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty
2D/3D Registration for Measurement of Implant Alignment After Total Hip Replacement
What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation?
Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-Weighted MRI
Segmentation and Measurement of the Cortex from 3D MR Images
Robust Cochlear Modiolar Axis Detection in CT
Self-adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
Interpretability-Guided Content-Based Medical Image Retrieval
Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts
Calibration of Deep Medical Image Classifiers: An Empirical Comparison Using Dermatology and Histopathology Datasets
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
A Two-Species Model for Abnormal Tau Dynamics in Alzheimer's Disease
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation
Information Bottleneck-Based Feature Weighting for Enhanced Medical Image Out-of-Distribution Detection
ISLES Challenge: U-Shaped Convolution Neural Network with Dilated Convolution for 3D Stroke Lesion Segmentation
Blood Flow Computation in Phase-Contrast MRI by Minimal Paths in Anisotropic Media
Dia-LLaMA: Towards Large Language Model-Driven CT Report Generation
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets
Appearance Models for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
Endo-CLIP: Progressive Self-supervised Pre-training on Raw Colonoscopy Records
Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning
3D Organ Motion Prediction for MR-Guided High Intensity Focused Ultrasound
VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation
MLCN: Metric Learning Constrained Network for Whole Slide Image Classification with Bilinear Gated Attention Mechanism
MRI Denoising Using Deep Learning
Soft-Tissue Driven Craniomaxillofacial Surgical Planning
Deep Learning Based Multi-modal Cardiac MR Image Segmentation
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework
Integrating Meta-analysis in Multi-modal Brain Studies with Graph-Based Attention Transformer
MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
HARP: Harmonization and Adaptive Refinement of Pseudo-labels for Cross-Domain Medical Image Segmentation
Head and Neck Cancer Localization with Retina Unet for Automated Segmentation and Time-To-Event Prognosis from PET/CT Images
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks
Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI
A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation
Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers
Inpainting Cropped Diffusion MRI Using Deep Generative Models
Bronchoscopy Navigation beyond Electromagnetic Tracking Systems: A Novel Bronchoscope Tracking Prototype
ShapeKit
A Flouroscopic X-Ray Registration Process for Three-Dimensional Surgical Navigation
Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas
Automatic View Planning for Cardiac MRI Acquisition
Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI
Real-Time Respiratory Motion Analysis Using Manifold Ray Casting of Volumetrically Fused Multi-view Range Imaging
Endoscope Distortion Correction Does Not (Easily) Improve Mucosa-Based Classification of Celiac Disease
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks
Full-Wave Intravascular Ultrasound Simulation from Histology
Biomechanical Model Construction from Different Modalities: Application to Cardiac Images
Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing
Multimodal Image Registration with Deep Context Reinforcement Learning
UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos
On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-Offs in Medical Imaging
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V
PathSegDiff: Pathology Segmentation Using Diffusion Model Representations
Evaluation of the Video-Based Network for Angle of Progression Measurement
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease
Coupling Statistical Segmentation and PCA Shape Modeling
Boundary-Aware Network for Kidney Parsing
Transformer-Based End-to-End Classification of Variable-Length Volumetric Data
Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta
Classification of Pathological Cases of Myocardial Infarction Using Convolutional Neural Network and Random Forest
Unsupervised Diffeomorphic Surface Registration and Non-linear Modelling
ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans
PC-Based Control Unit for a Head Mounted Operating Microscope for Augmented Reality Visualization in Surgical Navigation
Enhance Multi-modal and Multi-center Whole Heart Segmentation Using Data Augmentation and Model Calibration
Topology Smoothing for Segmentation and Surface Reconstruction
Robust Feature Selection for Classifying Early Ischemic Changes in Posterior Stroke
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
Statistical Shape Modeling of Unfolded Retinotopic Maps for a Visual Areas Probabilistic Atlas
Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks
Development of New Augmented Reality Function Using Intraperitoneal Multi-view Camera
Computational Sonography
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors
Virtual Endoscopy of Mucin-Producing Pancreas Tumors
Paired Image Generation with Diffusion-Guided Diffusion Models
Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation Through Disconnected Components Repair and Open Curve Snake
Deep Multivariate Autoencoder for Capturing Complexity in Brain Structure and Behaviour Relationships
Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models
DCrownFormer: Morphology-Aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth
Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Spatiotemporal Morphometry of Adjacent Tissue Layers with Application to the Study of Sulcal Formation
A Dynamical Clustering Model of Brain Connectivity Inspired by the N-Body Problem
Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections
Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
Fast and Accurate Multi-tissue Deconvolution Using SHORE and H-psd Tensors
Discriminative Correlation Filter Network for Robust Landmark Tracking in Ultrasound Guided Intervention
Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement
pq -space Based Non-Photorealistic Rendering for Augmented Reality
Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks
Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior
Automatic Lung Lobe Segmentation Using Particles, Thin Plate Splines, and Maximum a Posteriori Estimation
Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology
Improving Few-Shot-Segmentation of New Structures in Volumetric Medical Images by Support Set Optimization
Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images
FastDTI: A 3D Scale-Arbitrary Super-Resolution Autoencoder Residual Dense Network for DTI
Automatic Modic Changes Classification in Spinal MRI
Improving Out-of-Sample Prediction of Quality of MRIQC
Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming
String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery
Automated Pipeline for Regional Epicardial Adipose Tissue Distribution Analysis in the Left Atrium
Additional Positive Enables Better Representation Learning for Medical Images