yusuke1997/dblp-id-title huggingface dataset:
Registration of Real-Time and Prior Imaging Data with Applications to MR Guided Cardiac Interventions
A Self-distillation Bi-atrial Segmentation Network for Cardiac MRI
Attenuation Imaging with Pulse-Echo Ultrasound Based on an Acoustic Reflector
Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation
A New Sensor Technology for 2D Ultrasound-Guided Needle Tracking
SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification
Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation
Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
Intra-operative Multimodal Non-rigid Registration of the Liver for Navigated Tumor Ablation
Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts
S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences
A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography
Computer Aided Skin Lesion Diagnosis with Humans in the Loop
The Importance of Skip Connections in Biomedical Image Segmentation
Computer Assisted Quantitative Analysis of Deformities of the Human Spine
Cascaded Framework with Complementary CMR Information for Myocardial Pathology Segmentation
Volume Reconstruction from Sparse 3D Ultrasonography
Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model
Gaze-Contingent Soft Tissue Deformation Tracking for Minimally Invasive Robotic Surgery
Retinal Layer Segmentation Reformulated as OCT Language Processing
Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification
Volume Preserving Image Registration
Multiscale Lung Texture Signature Learning Using the Riesz Transform
Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy
Stereoscopic Scene Flow for Robotic Assisted Minimally Invasive Surgery
Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
Tabular Data-Enhanced Multi-modal Alignment and Synthesis for Alzheimer's Disease Diagnosis
Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII
Operating Critical Machine Learning Models in Resource Constrained Regimes
Phy-Diff: Physics-Guided Hourglass Diffusion Model for Diffusion MRI Synthesis
COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
A Statistical Shape Model for Multiple Organs Based on Synthesized-Based Learning
Inferior Alveolar Nerve Segmentation in CBCT Images Using Connectivity-Based Selective Re-training
Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons
Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts
Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling
Flip Learning: Erase to Segment
Model Library for Deformable Model-Based Segmentation of 3-D Brain MR-Images
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge
Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment
Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
Microtubule Tracking in Electron Microscopy Volumes
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos
Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy
Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity
Dynamic Multi-object Gaussian Process Models
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics
Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising
Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction
Percutaneous Computer Assisted Iliosacral Screwing: Clinical Validation
Spatio-Temporal Pre-Trained Foundation Model for Neural Decoding with Fine-Grained Optimization
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading
VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
The Missing Piece: A Case for Pre-training in 3D Medical Object Detection
Foveation for Segmentation of Mega-Pixel Histology Images
Towards Automated Cellular Image Segmentation for RNAi Genome-Wide Screening
DSNT-DeepUNet: A Coordinate Prediction Method for Intrapartum Ultrasound
Spatial-Stiffness Analysis of Surface-Based Registration
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search
Effects of Latency on Telesurgery: An Experimental Study
Estimation and Reduction of Target Registration Error
Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the Knee
Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
A Control System for MRI-Guided Conformal Interstitial Thermal Therapy
Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers. - 15th International Workshop, STACOM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Revised Selected Papers
IarCAC: Instance-Aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT Angiography
High Resolution Medical Image Segmentation Using Data-Swapping Method
Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting
Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble
Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise
Manual and Computer-Assisted Pedicle Screw Placement Plans: A Quantitative Comparison
HALE: Healthy Area of Lumen Estimation for Vessel Stenosis Quantification
Digital Angioplasty Balloon Inflation Device for Interventional Cardiovascular Procedures
Liver Segmentation Quality Control in Multi-sequence MR Studies
A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides
A Mechatronic System for the Implantation of the Acetabular Component in Total Hip Alloarthroplasty
Deep Learning Based Multi-modal Registration for Retinal Imaging
An Incremental Method for Registering Electroanatomic Mapping Data to Surface Mesh Models of the Left Atrium
Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets
Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
A Unified Statistical/Deterministic Deformable Model for LV Segmentation in Cardiac MRI
Bayesian Tracking of Tubular Structures and Its Application to Carotid Arteries in CTA
3D Surgical Overlay with Markerless Image Registration Using a Single Camera
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions
CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition
Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound
A Whole Body Atlas Based Segmentation for Delineation of Organs in Radiation Therapy Planning
Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images
Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images
Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN
Uncertainty-Aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global View
Preliminary Results of an Early Clinical Experience with the Acrobot TM System for Total Knee Replacement Surgery
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss
Sparse Multi-view Task-Centralized Learning for ASD Diagnosis
A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional Networks
Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels
Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis
Virtual Fly-Over: A New Visualization Technique for Virtual Colonoscopy
Adapting Segment Anything Model (SAM) for Retinal OCT
Enforcing Monotonic Temporal Evolution in Dry Eye Images
3D Elastography Using Freehand Ultrasound
3D Functional Database of Subcortical Structures for Surgical Guidance in Image Guided Stereotactic Neurosurgery
FPN-in-FPN: A Nested Multi-scale Aggregation Network for Polyp Segmentation
Curvilinear Structure Enhancement with the Polygonal Path Image - Application to Guide-Wire Segmentation in X-Ray Fluoroscopy
Extracting Vascular Networks under Physiological Constraints via Integer Programming
Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation
Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests
Flexible Sampling for Long-Tailed Skin Lesion Classification
A Novel Dual LevelSets Competition Model for Colon Region Segmentation
InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations
A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps
An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation
CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model
Anisotropy Creases Delineate White Matter Structure in Diffusion Tensor MRI
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust
Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net
A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI
Computed Tomography Image Enhancement Using 3D Convolutional Neural Network
Towards Patient-Specific Finite-Element Simulation of MitralClip Procedure
Combining Deep Learning Networks with Permutation Tests to Predict Traumatic Brain Injury Outcome
Integrated Four Dimensional Registration and Segmentation of Dynamic Renal MR Images
Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI
Nasal Mesh Unfolding - An Approach to Obtaining 2-D Skin Templates from 3-D Nose Models
Single Photon Emission Computed Tomography and 3 Dimensional Quantitative Evaluation in Renal Scintigraphy
Three-Dimensional Shape-Motion Analysis of the Left Anterior Descending Coronary Artery in EBCT Images
Semi-supervised Cell Detection in Time-Lapse Images Using Temporal Consistency
CLAIRE-DSA: Fluoroscopic Image Classification for Quality Assurance of Computer Vision Pipelines in Acute Ischemic Stroke
Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy
Modelling Smooth Intensity Changes in the Putamen for Diagnosis of Sporadic Creutzfeldt-Jakob Disease
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images
A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging
Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras
Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning
MAD: Modality Agnostic Distance Measure for Image Registration
A Multi-view Opto-Xray Imaging System
A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity
Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images
Extending 2D Deep Learning Architectures to 3D Image Segmentation Problems
Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation
FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation Using Multi-modal Images
LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG
Input Simplification Impact on Robustness for Targeted Therapy Subtypes in Breast MRI Segmentation AI
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch
Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking
Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading
Motion-Aware Mosaicing for Confocal Laser Endomicroscopy
Multi-modal Image Prediction via Spatial Hybrid U-Net
DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories
Deformable Multi-material 2-Simplex Surface Mesh for Intraoperative MRI-Ready Surgery Planning and Simulation, with Deep-Brain Stimulation Applications
OCT Segmentation: Integrating Open Parametric Contour Model of the Retinal Layers and Shape Constraint to the Mumford-Shah Functional
FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis
Colon Unfolding Via Skeletal Subspace Deformation
DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction
Prior-Based Coregistration and Cosegmentation
MEDBind: Unifying Language and Multimodal Medical Data Embeddings
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-World Breast MRI Classification
Augmented Environments for Computer-Assisted Interventions - 6th International Workshop, AE-CAI 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers
A Method for Analysis of Electrophysiological Responses Obtained from the Motor Fibers of the Human Internal Capsule
Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation
NeuroReport-MS: Multi-scale Agentic AI for Automated Clinical Report Generation in Multiple Sclerosis
Application of the IMM-JPDA Filter to Multiple Target Tracking in Total Internal Reflection Fluorescence Microscopy Images
SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution
Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy
Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning
Graph-Based Inter-subject Classification of Local fMRI Patterns
DARIL: When Imitation Learning Outperforms Reinforcement Learning in Surgical Action Planning
Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging
Meta-analysis Guided Multi-task Graph Transformer Network for Diagnosis of Neurological Disease and Cognitive Deficits
Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network
Template-Based Inter-modality Super-Resolution of Brain Connectivity
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI
SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction
CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE
Automated Labeling of Bronchial Branches in Virtual Bronchoscopy System
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus
Automatic CAD-RADS Scoring Using Deep Learning
Robust Segmentation and Anatomical Labeling of the Airway Tree from Thoracic CT Scans
Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks
SimNorth: A Novel Contrastive Learning Approach for Clustering Prenatal Ultrasound Images
Holistic White-Light Polyp Classification via Alignment-Free Dense Distillation of Auxiliary Optical Chromoendoscopy
Rapid and Automated Extraction of the Fourth Ventricle from MR Images
A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization
Prediction of Infarct Localization from Myocardial Deformation
Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation
Fully Automatic Kidneys Detection in 2D CT Images: A Statistical Approach
3D Intraventricular Flow Mapping from Colour Doppler Images and Wall Motion
Learning to Segment Skin Lesions from Noisy Annotations
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space
Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model
Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning
Active Shape Models for a Fully Automated 3D Segmentation of the Liver - An Evaluation on Clinical Data
Delineation of Liver Tumors from CT Scans Using Spectral Clustering with Out-of-Sample Extension and Multi-windowing
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification
Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration
A Deep Level Set Method for Image Segmentation
Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading
Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI
DisQ: Disentangling Quantitative MRI Mapping of the Heart
Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging
Reconstruction of Cerebrospinal Fluid Flow in the Third Ventricle Based on MRI Data
Real Time Assistance for Stent Positioning and Assessment by Self-initialized Tracking
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences
Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine
Quality Metric for Parasternal Long Axis B-Mode Echocardiograms
Diffusion-Based Gray-White Matter Mapping for Quantitative Tractography in Glioma Patients
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
A Deep Attention-Multiple Instance Learning Framework to Predict Survival of Soft-Tissue Sarcoma from Whole Slide Images
Semi-automated Retinal Microsurgery Video Annotation with SAM2: Comparative Analysis of Prompt Strategies
Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images
FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites
Class and Region-Adaptive Constraints for Network Calibration
Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks
PFESA: FFT-Based Parameter-Free Edge and Structure Attention for Medical Image Segmentation
Improving Uncertainty Estimation in Convolutional Neural Networks Using Inter-rater Agreement
Simultaneous Registration and Segmentation by L1 Minimization
Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis
Quantifying Heterogeneity in Dynamic Contrast-Enhanced MRI Parameter Maps
Online Statistical Inference for Large-Scale Binary Images
Debunking Optimization Myths in Federated Learning for Medical Image Classification
Medical Content-Based Retrieval for Clinical Decision Support - Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers
Reliable Multi-view Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography
Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images
Fiber Continuity Based Spherical Deconvolution in Spherical Harmonic Domain
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)
Using Registration Uncertainty Visualization in a User Study of a Simple Surgical Task
Liver Segmentation Approach Using Graph Cuts and Iteratively Estimated Shape and Intensity Constrains
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
Real Time Ultrasound Needle Image Simulation Using Multi-dimensional Interpolation
Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNs
Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks
Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method
Towards a Cyber-Physical Systems Based Operating Room of the Future
Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision
Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis
Double Your Views - Exploiting Symmetry in Transmission Imaging
De-noising SPECT/PET Images Using Cross-Scale Regularization
Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound - International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings