yusuke1997/dblp-id-title huggingface dataset:
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study
An Optimal Control Approach for High Intensity Focused Ultrasound Self-Scanning Treatment Planning
Towards MR-Based Trochleoplasty Planning
Morphogenesis-Based Deformable Models Application to 3D Medical Image Segmentation and Analysis
ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection
Assessing Reorganisation of Functional Connectivity in the Infant Brain
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
Using Region-of-Interest Based Finite Element Modeling for Brain-Surgery Simulation
Riemannian Framework for Estimating Symmetric Positive Definite 4th Order Diffusion Tensors
The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets
Interactive Training and Operation Ecosystem for Surgical Tasks in Mixed Reality
Automatic Detection of Myocardial Boundaries in MR Cardio Perfusion Images
Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning - First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization
Optic Cup Segmentation for Glaucoma Detection Using Low-Rank Superpixel Representation
A Tensor-Based Morphometry Study of Genetic Influences on Brain Structure Using a New Fluid Registration Method
FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-sequence MRI Enhancement
Towards Diagnostic Quality Flat-Panel Detector CT Imaging Using Diffusion Models
Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance
Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis
Traversed Graph Representation for Sparse Encoding of Macro-Reentrant Tachycardia
Direct Parametric Image Reconstruction of Rapid Multi-tracer PET
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
What Genes Tell about Iris Appearance
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning
Shape versus Size: Improved Understanding of the Morphology of Brain Structures
Information Bottleneck-Based Causal Attention for Multi-label Medical Image Recognition
Accurate Fetal Head Descent Assessment During Labor Using Video Swin Transformer and Wavelet-Based Multitask Learning for 2024 MICCAI Challenge IUGC
White Matter Fiber Segmentation Using Functional Varifolds
Cine-MRI Simulation to Evaluate Tumor Tracking
ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval
TSBP: Improving Object Detection in Histology Images via Test-Time Self-guided Bounding-Box Propagation
4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer
Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound
nnDetection: A Self-configuring Method for Medical Object Detection
Deep Laparoscopic Stereo Matching with Transformers
On the Localization of Ultrasound Image Slices Within Point Distribution Models
Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease
Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
Cell Segmentation, Tracking, and Mitosis Detection Using Temporal Context
Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos Using Spatiotemporal Consistency
View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging
Cutting Simulation of Manifold Volumetric Meshes
Time-Warped Geodesic Regression
Semi-automated Subcutaneous and Visceral Adipose Tissue Quantification in Computed Tomography
Utilizing Baseline Infarct and Penumbra Masks to Improve NCCT and CTA Based Final Infarct Prediction
Probabilistic Graphical Model of SPECT/MRI
A Multi-method Approach towards Understanding the Pathophysiology of Aortic Dissections - The Complementary Role of In-Silico, In-Vitro and In-Vivo Information
Real-World Visual Navigation for Cardiac Ultrasound View Planning
Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points
CT Brain Perfusion: A Clinical Perspective
Data-Driven Visual Tracking in Retinal Microsurgery
Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification
Dynamic Thermal Modeling of the Normal and Tumorous Breast under Elastic Deformation
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy
Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools
Anomaly Detection by Clustering DINO Embeddings Using a Dirichlet Process Mixture
Structural Similarity Based Anatomical and Functional Brain Imaging Fusion
Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation
Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer
A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation
A Two-Stage Semi-supervised Ensemble Framework for Automated Angle of Progression Measurement in Intrapartum Ultrasound
Registration-Based Interpolation Using a High-Resolution Image for Guidance
Multiresolution Biomedical Image Registration Using Generalized Information Measures
Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-center fMRI Data Analysis
Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images
Dense-Residual Attention Network for Skin Lesion Segmentation
Probe Design to Robustly Locate Anatomical Features
Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans
S-SAM: SVD-Based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction
EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
Spine-Transformers: Vertebra Detection and Localization in Arbitrary Field-of-View Spine CT with Transformers
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations
Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding
An Ultra-efficient Method for Real-Time Ultra-widefield Fundus Image Quality Assessment
HalF-SAM: SAM-Based Haustral Fold Detection in Colonoscopy with Debris Suppression and Temporal Consistency
Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance
Superpixel-Guided Label Softening for Medical Image Segmentation
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
TGIF: Topological Gap In-Fill for Vascular Networks - A Generative PhysiologicalModeling Approach
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm
Investigating the Role of VR in a Simulation-Based Medical Planning System for Coronary Interventions
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge
A New and General Method for Blind Shift-Variant Deconvolution of Biomedical Images
A Novel High Intensity Focused Ultrasound Robotic System for Breast Cancer Treatment
Hierarchical Multiple Instance Learning for COPD Grading with Relatively Specific Similarity
Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction
Small Sample Learning of Superpixel Classifiers for EM Segmentation
Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification
Hybrid Supervision Learning for Pathology Whole Slide Image Classification
Chest X-ray Image Classification: A Causal Perspective
Hippocampal Shape Classification Using Redundancy Constrained Feature Selection
Deep Learning-Based Feature Representation for AD/MCI Classification
Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities
Accuracy of a Fluoroscopy Technique for Assessing Patellar Tracking
OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery
Atrial Septal Defect Tracking in 3D Cardiac Ultrasound
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder
Multiphase Liver Registration from Geodesic Distance Maps and Biomechanical Modelling
Hierarchical Characterization of Brain Dynamics via State Space-Based Vector Quantization
Real-Time 3D Ultrasound Reconstruction and Visualization in the Context of Laparoscopy
Clinical Trial of Information Acquisition System for Surgical Instruments in Digital Operation Room
Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds
Image Analysis of Nailfold Capillary Patterns from Video Sequences
An Inverse Problem Approach to the Estimation of Volume Change
Bowsher Prior Enhanced Unsupervised PET Image Denoising
Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models
Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification
Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data
Maximum Likelihood Estimation of the Bias Field in MR Brain Images: Investigating Different Modelings of the Imaging Process
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach
Disagreement-Driven Uncertainty Quantification in Late Gadolinium Enhancement Cardiac MRI
AI-Based Diagnostic Model for Predicting ci-DME Development
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
Layout Consistent Segmentation of 3-D Meshes via Conditional Random Fields and Spatial Ordering Constraints
Hierarchical Graph Pathomic Network for Progression Free Survival Prediction
High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs
Comparison of Correction Protocols for Image-Guided Radiation Therapy
A Tracking Approach to Parcellation of the Cerebral Cortex
SMT: Split and Merge Tractography for DT-MRI
iSMORE: An Iterative Self Super-Resolution Algorithm
A Quantitative Approach to Characterize MR Contrasts with Histology
Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods
Improving the U-Net Configuration for Automated Delineation of Head and Neck Cancer on MRI
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification
Recognizing Surgical Activities with Recurrent Neural Networks
Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video
Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation
Extracting Features from Tactile Maps
A Multi-branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation
Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis
Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography
Bayesian Personalization of Brain Tumor Growth Model
Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections
Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets
An Analysis Tool for Quantification of Diffusion Tensor MRI Data
Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease
A Simulator for Designing Control Schemes for a Teleoperated Flexible Robotic System
Performance Evaluation of a Cooperative Manipulation Microsurgical Assistant Robot Applied to Stapedotomy
Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation
Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond
Multi-Organ and Pan-Cancer Segmentation Framework from Partially Labeled Abdominal CT Datasets: Fine and Swift nnU-Nets with Label Fusion
Exploring the Use of Off-the-Shelf AI Models for Complex Medical Tasks: ResNet18 for Predicting Age-Related Macular Degeneration
Multi-head Graph Convolutional Network for Structural Connectome Classification
Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles
Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction
Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure
Multi-stage Prediction Networks for Data Harmonization
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III
XTag-CLIP: Robust and Reliable Thyroid Scar Analysis with Limited Data via Cross-Attention
Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge
Application of XMR 2D-3D Registration to Cardiac Interventional Guidance
Texture Classification in Lung CT Using Local Binary Patterns
Filtering h int Images for the Detection of Microcalcifications
An Automated Approach to Connectivity-Based Partitioning of Brain Structures
Deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver
Characterization of Brain Plasticity in Schizophrenia Using Template Deformation
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
HF-ResDiff: High-Frequency-Guided Residual Diffusion for Multi-dose PET Reconstruction
Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - Second Deep Breast Workshop, Deep-Breath 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
A Novel Approach for Image Alignment Using a Markov-Gibbs Appearance Model
Modeling Dynamic Cellular Morphology in Images
Instance Segmentation of Biomedical Images with an Object-Aware Embedding Learned with Local Constraints
Real-Time Quantitative Elasticity Imaging of Deep Tissue Using Free-Hand Conventional Ultrasound
RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis
3D Markov Random Fields and Region Growing for Interactive Segmentation of MR Data
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Macroscopic Modeling of Vascular Systems
Ischemic Stroke Segmentation from a Cross-Domain Representation in Multimodal Diffusion Studies
Statistical Modeling of Shape and Appearance Using the Continuous Medial Representation
Towards Quantifying Neurovascular Resilience
Surface-Based Multi-axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer's Disease
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data
Cross Validation of Experts Versus Registration Methods for Target Localization in Deep Brain Stimulation
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data
A Hybrid Network for Automatic Myocardial Infarction Segmentation in Delayed Enhancement-MRI
A Bayesian Disease Progression Model for Clinical Trajectories
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer
A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer
UC-GAN for MR to CT Image Synthesis
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis
Interpreting CT-Scans with CLIP: An Explorative Study of Attribution Methods for 3D Vision-Language Models
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach
Towards Robust General Medical Image Segmentation
Robust and Discriminative Brain Genome Association Study
Automated Digital Dental Articulation
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation
Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography
Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data
UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures
CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors
Non-rigid Surface Registration Using Spherical Thin-Plate Splines
Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis
First Clinical Experience with BMD Assessment in Vertebrae Using Dual-Energy CT
Automated Age Estimation from Hand MRI Volumes Using Deep Learning
MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models
Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks
A Tactile Magnification Instrument for Minimally Invasive Surgery
Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness
UWT-Net: Mining Low-Frequency Feature Information for Medical Image Segmentation
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction
FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images
Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors
Segmentation of the Cartilage in the Rib Cage in 3D MRI
Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework
A Hybrid CNN Feature Model for Pulmonary Nodule Differentiation Task
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset
EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA
Track Filtering via Iterative Correction of TDI Topology
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images
A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network
Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis
Trustworthy Clinical Thinking in MLLMs: Hierarchical Energy-based Reasoning for interpretable MEdical Scans (HERMES)
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Tri-Modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
Computational Methods and Clinical Applications for Spine Imaging - 6th International Workshop and Challenge, CSI@MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising
Cranial Implant Design Through Multiaxial Slice Inpainting Using Deep Learning
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis
Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion
Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness
Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images
Measurement Selection in Untracked Freehand 3D Ultrasound
Deformable Registration Through Learning of Context-Specific Metric Aggregation
Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow
DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy
A Novel fMRI Representation Learning Framework with GAN
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning
Realistic Breast Mass Generation Through BIRADS Category
Tissue Shape Acquisition with a Hybrid Structured Light and Photometric Stereo Endoscopic System
GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
Cross Modality Deformable Segmentation Using Hierarchical Clustering and Learning
Physics-Informed Neural Operators for Tissue Elasticity Reconstruction
Fast Predictive Simple Geodesic Regression
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
A Rapid Method for Magnetic Tracker Calibration Using a Magneto-Optic Hybrid Tracker
Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity
Co-restoring Multimodal Microscopy Images
MM-DETR: Emulating the Diagnostic Clinical Workflow in Multi-view Multi-modal Mammography Mass Detection