yusuke1997/dblp-id-title huggingface dataset:
Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study
DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks
Optimum Robot Control for 3D Virtual Fixture in Constrained ENT Surgery
MultiVarNet - Predicting Tumour Mutational Status at the Protein Level
Semi-automated Image Segmentation of the Midsystolic Left Ventricular Mitral Valve Complex in Ischemic Mitral Regurgitation
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
Online Scene Association for Endoscopic Navigation
Initial In-Vivo Analysis of 3d Heterogeneous Brain Computations for Model-Updated Image-Guided Neurosurgery
Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning
Scribble-Based Domain Adaptation via Co-segmentation
Area-Preserving Surface Flattening Using Lie Advection
On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus
Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation
Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly
A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Observed Differential Evolution
Data Augmentation by Fourier Transformation for Class-Imbalance: Application to Medical Image Quality Assessment
Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis
Statistical Atlases of Bone Anatomy: Construction, Iterative Improvement and Validation
Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis
Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An Application to Autism
Automatic Detection of Blue-White Veil by Discrete Colour Matching in Dermoscopy Images
Human-in-the-Loop Active Learning for Real-Time Endoscopic Diagnostics on Edge Devices
A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects
Federated Learning for Breast Density Classification: A Real-World Implementation
Affine Registration of Diffusion Tensor MR Images
Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types
IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
Structured Decision Forests for Multi-modal Ultrasound Image Registration
Image-Based Real-Time Motion Gating of 3D Cardiac Ultrasound Images
Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising
4D Phase-Contrast Magnetic Resonance CardioAngiography (4D PC-MRCA) Creation from 4D Flow MRI
Which Metrics Should Be Used in Non-linear Registration Evaluation?
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
A U-Nets Cascade for Sparse View Computed Tomography
Revisiting Self-attention in Medical Transformers via Dependency Sparsification
Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain
Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images
SCORPION: Addressing Scanner-Induced Variability in Histopathology
CENet: Context Enhancement Network for Medical Image Segmentation
LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer's Disease Identification
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease
Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN
SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking
T 2 GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting
Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging Using a Depth Camera
Fine-Tuning Vision Language Models with Graph-Based Knowledge for Explainable Medical Image Analysis
3D Imaging from Video and Planar Radiography
Learning-Based Modeling of Endovascular Navigation for Collaborative Robotic Catheterization
Context-Based Normalization of Histological Stains Using Deep Convolutional Features
Clinically Correct Report Generation from Chest X-Rays Using Templates
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
Latent Processes Governing Neuroanatomical Change in Aging and Dementia
Automated Extraction of Lymph Nodes from 3-D Abdominal CT Images Using 3-D Minimum Directional Difference Filter
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features
A Novel Minimal Surface Overlay Model for the Whole Colon Wall Segmentation
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions During Clinical Evaluation of Medical Images
AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients
MCM: Mamba-Based Cardiac Motion Tracking Using Sequential Images in MRI
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis
ISLES (SISS) Challenge 2015: Segmentation of Stroke Lesions Using Spatial Normalization, Random Forest Classification and Contextual Clustering
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images
Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models
Adapting Foundation Model for Dental Caries Detection with Dual-View Co-training
2D Teeth Segmentation Base on Half-Image Approach and VCMix-Net+
Fairness and Robustness of CLIP-Based Models for Chest X-Rays
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures
Robust Segmentation of Medical Images Using Geometric Deformable Models and a Dynamic Speed Function
Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors
Mixture-Model-Based Segmentation of Myocardial Delayed Enhancement MRI
Reconstruction of 3D Cardiac MR Images from 2D Slices Using Directional Total Variation
Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images
A Query-by-Example Content-Based Image Retrieval System of Non-melanoma Skin Lesions
Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Instance-Balanced Patch Sampling for Whole-Body Lesion Segmentation
A Multimodal Database for the 1 st Cardiac Motion Analysis Challenge
3D Cross-Pseudo Supervision (3D-CPS): A Semi-supervised nnU-Net Architecture for Abdominal Organ Segmentation
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation
Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation
A Unified Mammogram Analysis Method via Hybrid Deep Supervision
Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images
Anatomical Structures Segmentation by Spherical 3D Ray Casting and Gradient Domain Editing
Meaningful Assessment of Surgical Expertise: Semantic Labeling with Data and Crowds
A Fast, Accurate and Easy Method to Position Oral Implant Using Computed Tomography - Clinical Validations
First Steps in Eliminating the Need for Animals and Cadavers in Advanced Trauma Life Support®
Robust 5DOF Transesophageal Echo Probe Tracking at Fluoroscopic Frame Rates
Using SPM to Detect Evolving MS Lesions
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series
MoreStyle: Relax Low-Frequency Constraint of Fourier-Based Image Reconstruction in Generalizable Medical Image Segmentation
3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs
Inferring Vascular Structure from 2D and 3D Imagery
Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics
Simplified Labeling Process for Medical Image Segmentation
A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis
Multimodal Brain Tumor Segmentation Using Modified 3D UNet3+ Architecture
Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in CT Colonography
Digital Imaging for the Education of Proper Surgical Hand Disinfection
Pipeline for Tracking Neural Progenitor Cells
Tubular Network Formation Process Using 3D Cellular Potts Model
A Matched Filter Decomposition of fMRI into Resting and Task Components
Automatic Detection and Removal of Fiducial Markers Embedded in Fluoroscopy Images for Online Calibration
A New Approach of Predicting Facial Changes Following Orthognathic Surgery Using Realistic Lip Sliding Effect
Model-Updated Image-Guided Minimally Invasive Off-Pump Transcatheter Aortic Valve Implantation
Measurement of the Skin-Liver Capsule Distance on Ultrasound RF Data for 1D Transient Elastography
RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports
Using Points and Surfaces to Improve Voxel-Based Non-rigid Registration
Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate
Uncovering Aβ Accumulation Patterns via Multi-modal Latent Space Clustering Using Residual Diffusion Model
4-D Generative Model for PET/MRI Reconstruction
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning
Nonlinear Analysis of BOLD Signal: Biophysical Modeling, Physiological States, and Functional Activation
AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients
Mind the Evaluation Gap: Large Language Models for Structured Data Extraction from Radiology Reports
Tracking Three Dimensional Ultrasound with Immunity from Ferro-Magnetic Interference
Enhancing Encoder with Attention Gate for Multimodal Brain Tumor Segmentation
C-arm Calibration - Is it Really Necessary?
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VI
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
Memory-Efficient Automatic Kidney and Tumor Segmentation Based on Non-local Context Guided 3D U-Net
A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference
Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image
Physics-Based Elastic Image Registration Using Splines and Including Landmark Localization Uncertainties
A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification
Dynamic Cardiac Mapping on Patient-Specific Cardiac Models
An Approach for Needle Based Optical Coherence Elastography Measurements
Tracer Kinetic Model-Driven Registration for Dynamic Contrast Enhanced MRI Time Series
USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer
BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation
Rigid-Flexible Outer Sheath Model Using Slider Linkage Locking Mechanism and Air Pressure for Endoscopic Surgery
Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection
Surgical Phases Detection from Microscope Videos by Combining SVM and HMM
Generation of Curved Planar Reformations from Magnetic Resonance Images of the Spine
Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing
Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
A Portable Intra-Operative Framework Applied to Distal Radius Fracture Surgery
Endoscopic Robots
Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier Splines
Block-Based Statistics for Robust Non-parametric Morphometry
Local 3D Reconstruction and Augmented Reality Visualization of Free-Hand Ultrasound for Needle Biopsy Procedures
Patient-Specific Analysis of Left Ventricular Blood Flow
CupAlign: Computer-Assisted Postoperative Radiographic Measurement of Acetabular Components Following Total Hip Arthroplasty
Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
PD-DWI: Predicting Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer with Physiologically-Decomposed Diffusion-Weighted MRI Machine-Learning Model
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks
Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes
A Hybrid Network Based on nnU-Net and Swin Transformer for Kidney Tumor Segmentation
Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion
Multi-factor Component Tree Loss Function: A Topology-Preserving Method for Skeleton Segmentation from Bone Scintigrams
Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?
Hand Hygiene Quality Assessment Using Image-to-Image Translation
Medical Image Segmentation with Imperfect 3D Bounding Boxes
Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift
Seeing Under the Cover: A Physics Guided Learning Approach for In-bed Pose Estimation
Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations
Supervised Contrastive Learning for Image-to-Graph Transformers
A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy
Application of CoTNet-50 in the Classification of Alzheimer's Disease
Learning-Based Meta-Algorithm for MRI Brain Extraction
Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance
Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Anisotropic Fourier Features for Positional Encoding in Medical Imaging
Inference and Visualization of Information Flow in the Visual Pathway Using dMRI and EEG
Towards Left Ventricular Scar Localisation Using Local Motion Descriptors
A$\upbeta $-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks
Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis
Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks
A Spin Glass Based Framework to Untangle Fiber Crossing in MR Diffusion Based Tracking
Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor
A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data
Topological Correction of Subcortical Segmentation
Predicting the Effects of Deep Brain Stimulation with Diffusion Tensor Based Electric Field Models
Trustworthy Few-Shot Transfer of Medical VLMs Through Split Conformal Prediction
Mosaicing of Confocal Microscopic In Vivo Soft Tissue Video Sequences
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs
Estimating Radiation Exposure in Interventional Environments
Progressively Normalized Self-Attention Network for Video Polyp Segmentation
Task versus Subtask Surgical Skill Evaluation of Robotic Minimally Invasive Surgery
Intrapartum Ultrasound - MICCAI 2025 Grand Challenge, IUGC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development
Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation
Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery
Fast Blur Detection and Parametric Deconvolution of Retinal Fundus Images
Joint Unsupervised Domain Adaptation and Semi-supervised Learning for Multi-sequence MR Abdominal Organ Segmentation
Diversity-Preserving Chest Radiographs Generation from Reports in One Stage
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
WeakSupCon: Weakly Supervised Contrastive Learning for Encoder Pre-training
The Cardiac Atlas Project: Preliminary Description of Heart Shape in Patients with Myocardial Infarction
Measures for Characterizing Directionality Specific Volume Changes in TBM of Brain Growth
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning
Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking
Design and Preliminary Accuracy Studies of an MRI-Guided Transrectal Prostate Intervention System
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
Characterization of Anatomic Fiber Bundles for Diffusion Tensor Image Analysis
Whole-Body Representation Learning For Competing Preclinical Disease Risk Assessment
Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions
Modeling Barrett's Esophagus Progression Using Geometric Variational Autoencoders
Symmetric Curvature Patterns for Colonic Polyp Detection
Interpretable Phenotypic Profiling of 3D Cellular Morphodynamics
Multispectral MR to X-Ray Registration of Vertebral Bodies by Generating CT-Like Data
Self-learning and One-Shot Learning Based Single-Slice Annotation for 3D Medical Image Segmentation
Region-Guided CycleGANs for Stain Transfer in Whole Slide Images
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions
Construction of 3D Dynamic Statistical Deformable Models for Complex Topological Shapes
A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation
Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses
Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns
Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI
Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network
Augmented Reality-Enhanced Endoscopic Images for Annuloplasty Ring Sizing
Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging
Fairness of Classifiers Across Skin Tones in Dermatology
Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis
End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival
Robust PET Motion Correction Using Non-local Spatio-temporal Priors
Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection
Geometry-Guided Local Alignment for Multi-view Visual Language Pre-training in Mammography
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images
Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution
Evaluation of Control Point Selection in Automatic, Mutual Information Driven, 3D Warping
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography
Accurate Robust Symmetry Estimation
Hierarchical Constrained Local Model Using ICA and Its Application to Down Syndrome Detection
Phase-Sensitive Region-of-Interest Computed Tomography
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework
High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions
Motion Correction Using Subpixel Image Registration
Computer-Assisted Interstitial Brachytherapy
Fast Catheter Tracking in Echocardiographic Sequences for Cardiac Catheterization Interventions
Age-Related Changes in Vertebral Morphometry by Statistical Shape Analysis
High-Resolution Cranial Implant Prediction via Patch-Wise Training
Inter-slice Correspondence for 2D Ultrasound-Guided Procedures
Optimal Trajectories Computation Within Regions of Interest for Hepatic RFA Planning
Bronchial Cartilage Assessment with Model-Based GAN Regressor
A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation
Three-Dimensional Joint Kinematics Using Bone Surface Registration: A Computer Assisted Approach with an Application to the Wrist Joint in Vivo
A Mini Guide on Mesh Generation of Blood Vessels for CFD Applications
An Efficient Cross-Modal Segmentation Method for Vestibular Schwannoma and Cochlea on MRI Images
Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling
Modeling of the Human Orbit from MR Images
Fast Abdomen Organ and Tumor Segmentation with nn-UNet
Learning Contextual and Attentive Information for Brain Tumor Segmentation
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
High Dexterity Snake-Like Robotic Slaves for Minimally Invasive Telesurgery of the Upper Airway
End-to-End Cell Recognition by Point Annotation
Computational Mathematics Modeling in Cancer Analysis - First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings