yusuke1997/dblp-id-title huggingface dataset:
Gaze-Contingent Motor Channelling, haptic constraints and associated cognitive demand for robotic MIS
Lightweight Multi-Stage Aggregation Transformer for robust medical image segmentation
Long-term stabilized iris tracking with unsupervised constraints on dynamic AS-OCT
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT
Stochastic finite element framework for simultaneous estimation of cardiac kinematic functions and material parameters
A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI
Fast and robust 3D ultrasound registration - Block and game theoretic matching
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study
Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor
Anatomical-guided attention enhances unsupervised PET image denoising performance
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
A graph-based approach for the retrieval of multi-modality medical images
SAC-Net: Learning with weak and noisy labels in histopathology image segmentation
Unsupervised pre-training of graph transformers on patient population graphs
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification
Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors
Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research
Capturing the multiscale anatomical shape variability with polyaffine transformation trees
A multiparametric volumetric quantitative ultrasound imaging technique for soft tissue characterization
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning
SDCT-AuxNet θ : DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis
Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks
Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Models Genesis
A transfer learning approach to few-shot segmentation of novel white matter tracts
Effects of registration regularization and atlas sharpness on segmentation accuracy
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules
Improved unsupervised 3D lung lesion detection and localization by fusing global and local features: Validation in 3D low-dose computed tomography
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features
An algorithm for learning shape and appearance models without annotations
Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke
Collaborative surgical instrument segmentation for monocular depth estimation in minimally invasive surgery
Meta grayscale adaptive network for 3D integrated renal structures segmentation
Shape analysis based on depth-ordering
Image-based simulation of mitral valve dynamic closure including anisotropy
Quantitative vertebral morphometry using neighbor-conditional shape models
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation
Pulmonary fissure segmentation on CT
A procedure to average 3D anatomical structures
Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis
BIAS: Transparent reporting of biomedical image analysis challenges
Nonparametric Bayesian inference of the fiber orientation distribution from diffusion-weighted MR images
Medical image processing on the GPU - Past, present and future
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease
Automated segmentation and tracking of non-rigid objects in time-lapse microscopy videos of polymorphonuclear neutrophils
Influence of coupled hemodynamics-arterial wall interaction on compliance in a realistic pulmonary artery with variable intravascular wall properties
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
Analytic signal phase-based myocardial motion estimation in tagged MRI sequences by a bilinear model and motion compensation
Brain-skull contact boundary conditions in an inverse computational deformation model
Guidelines and evaluation of clinical explainable AI in medical image analysis
A hierarchical 3D segmentation method and the definition of vertebral body coordinate systems for QCT of the lumbar spine
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer
Optimisation of the event-based TOF filtered back-projection for online imaging in total-body J-PET
Computer assisted reconstruction of complex proximal humerus fractures for preoperative planning
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning
Editorial for the Special Issue on MICCAI 2015
Gigapixel end-to-end training using streaming and attention
Cortical sulci recognition and spatial normalization
Source-free domain adaptation for image segmentation
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba
A self-taught artificial agent for multi-physics computational model personalization
EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation
Statistical appearance models based on probabilistic correspondences
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Benefit from public unlabeled data: A Frangi filter-based pretraining network for 3D cerebrovascular segmentation
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration
Statistical characterization of noise for spatial standardization of CT scans: Enabling comparison with multiple kernels and doses
Segmentation of the skull in MRI volumes using deformable model and taking the partial volume effect into account
Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
NuClick: A deep learning framework for interactive segmentation of microscopic images
3D masked autoencoder with spatiotemporal transformer for modeling of 4D fMRI data
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets
From macro-scale to micro-scale computational anatomy: a perspective on the next 20 years
In vivo measurement of human brain elasticity using a light aspiration device
Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method
A deep-learning approach for direct whole-heart mesh reconstruction
Structure-adaptive sparse denoising for diffusion-tensor MRI
Multi-task learning for quality assessment of fetal head ultrasound images
Brain morphometry using 3D moment invariants
Atlas stratification
Hierarchical spherical deformation for cortical surface registration
A lightweight generative model for interpretable subject-level prediction
Report is a mixture of topics: Topic-guided radiology report generation
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides
Automated localization of breast cancer in DCE-MRI
Surgical planning assistance in keyhole and percutaneous surgery: A systematic review
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification
BolT: Fused window transformers for fMRI time series analysis
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network
2D+T acoustic boundary detection in echocardiography
Weakly supervised segmentation with cross-modality equivariant constraints
Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease - A systematic model evaluation
Generative appearance replay for continual unsupervised domain adaptation
Similarity-guided multi-view functional brain network fusion
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification
Convolutional sparse kernel network for unsupervised medical image analysis
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
Learning robust medical image segmentation from multi-source annotations
Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma
Structure and position-aware graph neural network for airway labeling
Robust variational segmentation of 3D bone CT data with thin cartilage interfaces
Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation
Unmixing dynamic PET images with variable specific binding kinetics
Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images
An image space approach to Cartesian based parallel MR imaging with total variation regularization
Manifold modeling for brain population analysis
Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis
Leveraging labelled data knowledge: A cooperative rectification learning network for semi-supervised 3D medical image segmentation
Feature characterization in fMRI data: the Information Bottleneck approach
Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models
Impact of image spatial, temporal, and velocity resolutions on cardiovascular indices derived from color-Doppler echocardiography
Hypergraph learning for identification of COVID-19 with CT imaging
Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression
Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
A conduction velocity adapted eikonal model for electrophysiology problems with re-excitability evaluation
Contrastive learning and prior knowledge-induced feature extraction network for prediction of high-risk recurrence areas in Gliomas
Distortion correction and robust tensor estimation for MR diffusion imaging
Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms
Adaptive diffusion priors for accelerated MRI reconstruction
Methods for segmenting curved needles in ultrasound images
3D ultrasound measurement of large organ volume
Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer
Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation
Homeomorphic brain image segmentation with topological and statistical atlases
Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation
Assessment of algorithms for mitosis detection in breast cancer histopathology images
Learning to complete incomplete hearts for population analysis of cardiac MR images
Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences
Multi-sensor super-resolution for hybrid range imaging with application to 3-D endoscopy and open surgery
An automated method for the detection of pulmonary embolism in V/Q-scans
An interactive and explainable AI approach to improve human-machine teaming in cancer subtyping from digital cytopathology
Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience
Endoluminal surface registration for CT colonography using haustral fold matching
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization
Instrument detection and pose estimation with rigid part mixtures model in video-assisted surgeries
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks
DACG: Dual Attention and Context Guidance model for radiology report generation
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI
Capsules for biomedical image segmentation
A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel
Automatic scan range for dose-reduced multiphase CT imaging of the liver utilizing CNNs and Gaussian models
Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333]
PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images
Reversible jump MCMC methods for fully automatic motion analysis in tagged MRI
Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range
Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI
Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment
Model-based multi-parameter mapping
Joint graph cut and relative fuzzy connectedness image segmentation algorithm
Global guidance network for breast lesion segmentation in ultrasound images
Multi-Faceted Consistency learning with active cross-labeling for barely-supervised 3D medical image segmentation
MR image synthesis by contrast learning on neighborhood ensembles
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT
Spatio-temporal directed acyclic graph learning with attention mechanisms on brain functional time series and connectivity
A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation
A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy
Fusion of white and gray matter geometry: A framework for investigating brain development
Editorial for the MEDIA special issue on MICCAI 2013
Statistical shape analysis: From landmarks to diffeomorphisms
Optimal surface segmentation with convex priors in irregularly sampled space
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Knowledge distillation and teacher-student learning in medical imaging: Comprehensive overview, pivotal role, and future directions
Federated learning for computational pathology on gigapixel whole slide images
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation
Efficient computational fluid dynamics mesh generation by image registration
Nonlinear registration of longitudinal images and measurement of change in regions of interest
Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images
Deep magnetic resonance fingerprinting based on Local and Global Vision Transformer
Group-level cortical surface parcellation with sulcal pits labeling
Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA
Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images
A quality-guided displacement tracking algorithm for ultrasonic elasticity imaging
A scheme for automatically building three-dimensional morphometric anatomical atlases: application to a skull atlas
Deep association analysis framework with multi-modal attention fusion for brain imaging genetics
Surgical gesture classification from video and kinematic data
On facilitating the use of HARDI in population studies by creating rotation-invariant markers
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications
dStripe: Slice artefact correction in diffusion MRI via constrained neural network
CCSI: Continual Class-Specific Impression for data-free class incremental learning
Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
Wavelet-based estimation of the hemodynamic responses in diffuse optical imaging
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning
LoViT: Long Video Transformer for surgical phase recognition
The development and evaluation of CADMIUM: a prototype system to assist in the interpretation of mammograms
M4: Multi-proxy multi-gate mixture of experts network for multiple instance learning in histopathology image analysis
White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging
Algorithms for left atrial wall segmentation and thickness - Evaluation on an open-source CT and MRI image database
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal consistency
Precision of distance determination using 3D to 2D projections: The error of migration measurement using X-ray images
Welcome to the first issue of the new millennium
Comparing regularized Kelvinlet functions and the finite element method for registration of medical images to sparse organ data
Phase unwrapping of MR images using ΦUN - A fast and robust region growing algorithm
Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection
A novel image-guided robotic system with motion compensation for intraoperative radiation-free localization of pulmonary nodules
Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation
Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures
Towards a realistic echographic simulator
R2Net: Efficient and flexible diffeomorphic image registration using Lipschitz continuous residual networks
UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering
Automatic needle detection and real-time Bi-planar needle visualization during 3D ultrasound scanning of the liver
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans
TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography
Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation
A CAD system for the 3D location of lesions in mammograms
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps
Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint
The detection and significance of subtle changes in mixed-signal brain lesions by serial MRI scan matching and spatial normalization
Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions
Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction
Quantifying anatomical shape variations in neurological disorders
Generalized self-calibrating simultaneous multi-slice MR image reconstruction from 3D Fourier encoding perspective
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data
An integrated time adaptive geographic atrophy prediction model for SD-OCT images
Exploring partial intrinsic and extrinsic symmetry in 3D medical imaging
Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations
Spatio-temporal multi-task network cascade for accurate assessment of cardiac CT perfusion
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier
Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph
Unsupervised X-ray image segmentation with task driven generative adversarial networks