yusuke1997/dblp-id-title huggingface dataset:
VSmTrans: A hybrid paradigm integrating self-attention and convolution for 3D medical image segmentation
Respiratory motion compensation by model-based catheter tracking during EP procedures
Four challenges in medical image analysis from an industrial perspective
Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length
Normative ascent with local gaussians for unsupervised lesion detection
Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization
Vortical features for myocardial rotation assessment in hypertrophic cardiomyopathy using cardiac tagged magnetic resonance
Predict brain MR image registration via sparse learning of appearance and transformation
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images
Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]
Robust MR elastography stiffness quantification using a localized divergence free finite element reconstruction
Learning to synthesise the ageing brain without longitudinal data
Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation
A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images
Preventing facial recognition when rendering MR images of the head in three dimensions
A deep community based approach for large scale content based X-ray image retrieval
Personalized dental crown design: A point-to-mesh completion network
3D freehand ultrasound without external tracking using deep learning
Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins
Analytical and fast Fiber Orientation Distribution reconstruction in 3D-Polarized Light Imaging
A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers
An approximate bootstrap technique for variance estimation in parametric images
Segmentation of brain tissue from magnetic resonance images
HarmonicEchoNet: Leveraging harmonic convolutions for automated standard plane detection in fetal heart ultrasound videos
Cellular community detection for tissue phenotyping in colorectal cancer histology images
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy
Multiview diffeomorphic registration: Application to motion and strain estimation from 3D echocardiography
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
DeepResBat: Deep residual batch harmonization accounting for covariate distribution differences
Learning the implicit strain reconstruction in ultrasound elastography using privileged information
Robust parametrization of brain surface meshes
CAN: Context-assisted full Attention Network for brain tissue segmentation
Deformable meshes with automated topology changes for coarse-to-fine three-dimensional surface extraction
Integrating segmentation methods from the Insight Toolkit into a visualization application
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data
Segmenting the prostate and rectum in CT imagery using anatomical constraints
Atlas-assisted localization analysis of functional images
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
A generic framework for embedding human brain function with temporally correlated autoencoder
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke
Radiographic stereometry for non-metal-backed acetubular cups: 3D wear estimation and related uncertainty
VSNet: Vessel Structure-aware Network for hepatic and portal vein segmentation
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images
Talairach-Tournoux brain atlas registration using a metalforming principle-based finite element method
Image intensity normalisation by maximising the Siddon line integral in the joint intensity distribution space
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation
A fully automatic and robust brain MRI tissue classification method
Navigating prevalence shifts in image analysis algorithm deployment
Recent advances in medical image processing for the evaluation of chronic kidney disease
ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images
Vessel target location estimation during the TIPS procedure
POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping
Estimating the effective degrees of freedom in univariate multiple regression analysis
Learning to detect lymphocytes in immunohistochemistry with deep learning
Validation of vessel-based registration for correction of brain shift
A statistical deformation model-based data augmentation method for volumetric medical image segmentation
Transformer-based unsupervised contrastive learning for histopathological image classification
The HoloLens in medicine: A systematic review and taxonomy
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks
Automatic generation of 3D coronary artery centerlines using rotational X-ray angiography
Landmark-based deep multi-instance learning for brain disease diagnosis
Tumor growth models to generate pathologies for surgical training simulators
Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging
Recurrent inference machines for reconstructing heterogeneous MRI data
Thoracic non-rigid registration combining self-organizing maps and radial basis functions
Characterizing interactions between cardiac shape and deformation by non-linear manifold learning
Segmentation of volumetric MRA images by using capillary active contour
Searching collaborative agents for multi-plane localization in 3D ultrasound
A computational model of postoperative knee kinematics
Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformations
Deformable registration of diffusion tensor MR images with explicit orientation optimization
Multi-modal volume registration by maximization of mutual information
Registration and fusion quantification of augmented reality based nasal endoscopic surgery
From clinical imaging and computational models to personalised medicine and image guided interventions
Automated landmarking and geometric characterization of the carotid siphon
Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains
Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance
A smart atlas for endomicroscopy using automated video retrieval
A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI
The role of noise in denoising models for anomaly detection in medical images
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images
A non-rigid registration method for serial lower extremity hybrid SPECT/CT imaging
Feature-based interpolation of diffusion tensor fields and application to human cardiac DT-MRI
Geometric deep learning with adaptive full-band spatial diffusion for accurate, efficient, and robust cortical parcellation
Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation
Self-paced and self-consistent co-training for semi-supervised image segmentation
CAN3D: Fast 3D medical image segmentation via compact context aggregation
Robust 3-D reconstruction of surfaces from image focus by local cross-sectional multivariate statistical analyses: Application to human ex vivo corneal endotheliums
Creating a high-resolution spatial/symbolic model of the inner organs based on the Visible Human
DTG: Dual transformers-based generative adversarial networks for retinal 2D/3D OCT image classification
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI
Multi-center brain age prediction via dual-modality fusion convolutional network
Colour adaptive generative networks for stain normalisation of histopathology images
Maximum distance-gradient for robust image registration
CellViT: Vision Transformers for precise cell segmentation and classification
Estimation of slipping organ motion by registration with direction-dependent regularization
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
Correlation Routing Network for Explainable Lesion Classification in Multi-Parametric Liver MRI
A topology-preserving three-stage framework for fully-connected coronary artery extraction
A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification
Computer assisted detection of abnormal airway variation in CT scans related to paediatric tuberculosis
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models
Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information
A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data
The application of serial MRI analysis techniques to the study of cerebral atrophy in late-onset dementia
Detecting the brain surface in sparse MRI using boundary models
Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model
Multi-scale relational graph convolutional network for multiple instance learning in histopathology images
Deformable organisms for automatic medical image analysis
Probabilistic guidance for catheter tip motion in cardiac ablation procedures
Direct three-dimensional myocardial strain tensor quantification and tracking using zHARP
Evaluation of robot-based registration for subtraction radiography
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
A nonparametric MRI inhomogeneity correction method
UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling
Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging
Backdoor attack and defense in federated generative adversarial network-based medical image synthesis
Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening
ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
Automated anatomical labeling of abdominal arteries and hepatic portal system extracted from abdominal CT volumes
Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits
Contour-aware network with class-wise convolutions for 3D abdominal multi-organ segmentation
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Exploring the values underlying machine learning research in medical image analysis
Trajectory optimization for intra-operative nuclear tomographic imaging
FetMRQC: A robust quality control system for multi-centric fetal brain MRI
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks
LESS: Label-efficient multi-scale learning for cytological whole slide image screening
CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation
Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote
Domain-specific information preservation for Alzheimer's disease diagnosis with incomplete multi-modality neuroimages
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening
Unsupervised lesion detection via image restoration with a normative prior
Real-time medical phase recognition using long-term video understanding and progress gate method
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data
Anat-SFSeg: Anatomically-guided superficial fiber segmentation with point-cloud deep learning
Random forest regression for magnetic resonance image synthesis
Super-Resolved q-Space deep learning with uncertainty quantification
A computational Framework for generating rotation invariant features and its application in diffusion MRI
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation
Geodesic shape regression with multiple geometries and sparse parameters
Tunneling descent for m.a.p. active contours in ultrasound segmentation
Susceptibility artefact correction using dynamic graph cuts: Application to neurosurgery
Image analysis for computer-assisted internal fixation of hip fractures
Identifying multilayer network hub by graph representation learning
Segmentation by retrieval with guided random walks: Application to left ventricle segmentation in MRI
Unsupervised motion-compensation of multi-slice cardiac perfusion MRI
FSDA-DG: Improving cross-domain generalizability of medical image segmentation with few source domain annotations
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents
NeuroDetour: A neural pathway transformer for uncovering structural-functional coupling mechanisms in human connectome
Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction
Sparse and Adaptive Diffusion Dictionary (SADD) for recovering intra-voxel white matter structure
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements
Calculation of the confidence intervals for transformation parameters in the registration of medical images
Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
Dynamic topology analysis for spatial patterns of multifocal lesions on MRI
Erratum to: "A fully automatic and robust brain MRI tissue classification method" [Medical Image Analysis 7 (2003) 513-527]
Marker-free surgical navigation of rod bending using a stereo neural network and augmented reality in spinal fusion
A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation
Skin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report
A robust image segmentation and synthesis pipeline for histopathology
Real-time MR diffusion tensor and Q-ball imaging using Kalman filtering
Cardiac image modelling: Breadth and depth in heart disease
Invariant surface alignment in the presence of affine and some nonlinear transformations
A new dataset and versatile multi-task surgical workflow analysis framework for thoracoscopic mitral valvuloplasty
An integrated framework for finite-element modeling of mitral valve biomechanics from medical images: Application to MitralClip intervention planning
SpineNet: Automated classification and evidence visualization in spinal MRIs
A theoretical framework for quantifying blood volume flow rate from dynamic angiographic data and application to vessel-encoded arterial spin labeling MRI
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
Scale-invariant registration of monocular endoscopic images to CT-scans for sinus surgery
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement
Robust retrieval of three-dimensional structures from image stacks
Flux driven automatic centerline extraction
Deep learning for chest X-ray analysis: A survey
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective
An MRI digital brain phantom for validation of segmentation methods
Robust statistical shape models for MRI bone segmentation in presence of small field of view
An efficient conditional random field approach for automatic and interactive neuron segmentation
Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation
When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering
Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters
Semi-supervised task-driven data augmentation for medical image segmentation
CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis
A comprehensive shape model of the heart
GloW-VSNet: A scribble-based weakly supervised framework for global-view vitiligo lesion segmentation
Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields
Persistent and automatic intraoperative 3D digitization of surfaces under dynamic magnifications of an operating microscope
R-fMRI reconstruction from k - t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization
BIRNet: Brain image registration using dual-supervised fully convolutional networks
Automated analysis of spine dynamics on live CA1 pyramidal cells
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis
Spatial attention-based implicit neural representation for arbitrary reduction of MRI slice spacing
Source free domain adaptation for medical image segmentation with fourier style mining
Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model
Adaptive mix for semi-supervised medical image segmentation
Cortical surface shift estimation using stereovision and optical flow motion tracking via projection image registration
Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis
Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning
Brain Latent Progression: Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion
ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network
Automatic labelling of the human cortical surface using sulcal basins
Automatic elastic image registration by interpolation of 3D rotations and translations from discrete rigid-body transformations
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
High resolution histopathology image generation and segmentation through adversarial training
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease
Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure
Linear intensity-based image registration by Markov random fields and discrete optimization
Colonoscopy 3D video dataset with paired depth from 2D-3D registration
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
Polyrigid and polyaffine transformations: A novel geometrical tool to deal with non-rigid deformations - Application to the registration of histological slices
Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap
Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior
Vision-skeleton dual-modality framework for generalizable assessment of Parkinson's disease gait
Registration of PE segment contour deformations in digital high-speed videos
C-arm positioning for standard projections during spinal implant placement
Real-time ultrasound transducer localization in fluoroscopy images by transfer learning from synthetic training data
High-throughput histopathological image analysis via robust cell segmentation and hashing
GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition
Automatic detection and segmentation of evolving processes in 3D medical images: Application to multiple sclerosis
Towards a model of lung biomechanics: pulmonary kinematics via registration of serial lung images