yusuke1997/dblp-id-title huggingface dataset:
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
Perfusion deconvolution in DSC-MRI with dispersion-compliant bases
Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction
Enhancing MR image segmentation with realistic adversarial data augmentation
Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT
Fully automated lumen and vessel contour segmentation in intravascular ultrasound datasets
Integrating language into medical visual recognition and reasoning: A survey
Hippocrate: a safe robot arm for medical applications with force feedback
Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI
Learning metal artifact reduction in cardiac CT images with moving pacemakers
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images
Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set
PAIP 2020: Microsatellite instability prediction in colorectal cancer
A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis
Openness-aware multi-prototype learning for open set medical diagnosis
Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers
Probabilistic tractography using Q-ball imaging and particle filtering: Application to adult and in-utero fetal brain studies
Automatic shape model building based on principal geodesic analysis bootstrapping
A constrained independent component analysis technique for artery-vein separation of two-photon laser scanning microscopy images of the cerebral microvasculature
2D probabilistic undersampling pattern optimization for MR image reconstruction
Restoration of MRI data for intensity non-uniformities using local high order intensity statistics
Multitask learning in minimally invasive surgical vision: A review
Accuracy evaluation of direct navigation with an isocentric 3D rotational X-ray system
Automated landmarking and labeling of fully and partially scanned spinal columns in CT images
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement
Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining
Biomechanisms for modelling cerebral cortical folding
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries
Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases
Tensor classification of N-point correlation function features for histology tissue segmentation
Multi-oriented windowed harmonic phase reconstruction for robust cardiac strain imaging
A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement
ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging
IGUANe: A 3D generalizable CycleGAN for multicenter harmonization of brain MR images
Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion
Hybrid representation learning for cognitive diagnosis in late-life depression over 5 years with structural MRI
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
BACH: Grand challenge on breast cancer histology images
Joint spatial-angular sparse coding for dMRI with separable dictionaries
Segmentation of breast ultrasound image with semantic classification of superpixels
Unpaired, unsupervised domain adaptation assumes your domains are already similar
Deep learning based synthesis of MRI, CT and PET: Review and analysis
USFM: A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis
Predicting cortical ROIs via joint modeling of anatomical and connectional profiles
Whole-body anatomy localization via classification and regression forests
Suggestive annotation of brain MR images with gradient-guided sampling
Colon polyp detection using smoothed shape operators: Preliminary results
Discriminant snakes for 3D reconstruction of anatomical organs
Learning-based prediction of gestational age from ultrasound images of the fetal brain
Online tracking and retargeting with applications to optical biopsy in gastrointestinal endoscopic examinations
Modelling and extraction of pulsatile radial distension and compression motion for automatic vessel segmentation from video
A Novel Task-Based reconstruction approach for digital breast tomosynthesis
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise
Experimentation with a transcranial magnetic stimulation system for functional brain mapping
Single-image super-resolution of brain MR images using overcomplete dictionaries
An integrated deep learning framework for joint segmentation of blood pool and myocardium
Joint segmentation of lumen and outer wall from femoral artery MR images: Towards 3D imaging measurements of peripheral arterial disease
Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy
Estimating zero-strain states of very soft tissue under gravity loading using digital image correlation
GraSTI-ACL: Graph spatial-temporal infomax with adversarial contrastive learning for brain disorders diagnosis based on resting-state fMRI
Iterative multi-path tracking for video and volume segmentation with sparse point supervision
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data
A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading
Deep learning for predicting COVID-19 malignant progression
Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information
Vessel-guided airway tree segmentation: A voxel classification approach
Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction
Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images
Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing
Generative Sampling in Bundle Tractography using Autoencoders (GESTA)
Maximum likelihood estimation of cardiac fiber bundle orientation from arbitrarily spaced diffusion weighted images
SFPL: Sample-specific fine-grained prototype learning for imbalanced medical image classification
Multidimensional Directionality-Enhanced Segmentation via large vision model
Symmetric positive semi-definite Cartesian Tensor fiber orientation distributions (CT-FOD)
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization
Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts
Quantitative error prediction of medical image registration using regression forests
Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning
A deep learning framework for unsupervised affine and deformable image registration
Non-invasive visualization of collateral blood flow patterns of the circle of Willis by dynamic MR angiography
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
Automatic segmentation of 3D micro-CT coronary vascular images
Dual-modality visual feature flow for medical report generation
Combining spatial priors and anatomical information for fMRI detection
A deep network for tissue microstructure estimation using modified LSTM units
PL-Seg: Partially labeled abdominal organ segmentation via classwise orthogonal contrastive learning and progressive self-distillation
Axon tracking in serial block-face scanning electron microscopy
Hierarchical statistical shape analysis and prediction of sub-cortical brain structures
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Statistical shape analysis using non-Euclidean metrics
Probabilistic non-linear registration with spatially adaptive regularisation
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
SemiSAM+: Rethinking semi-supervised medical image segmentation in the era of foundation models
The status of augmented reality in laparoscopic surgery as of 2016
A geometric flow for segmenting vasculature in proton-density weighted MRI
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement
Interventional 4D motion estimation and reconstruction of cardiac vasculature without motion periodicity assumption
Surface spherical encoding and contrastive learning for virtual bone shape aging
An explainable deep learning framework for characterizing and interpreting human brain states
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement
Texture-preserving diffusion model for CBCT-to-CT synthesis
Diversity matters: Cross-head mutual mean-teaching for semi-supervised medical image segmentation
Removal of local and biased global maxima in intensity-based registration
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism
Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI
Imaging the femoral cortex: Thickness, density and mass from clinical CT
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
NCCT-to-CECT synthesis with contrast-enhanced knowledge and anatomical perception for multi-organ segmentation in non-contrast CT images
NeXtQSM - A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data
Detection and analysis of statistical differences in anatomical shape
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification
From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier
Integration of electro-anatomical and imaging data of the left ventricle: An evaluation framework
Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints
Correspondence attention for facial appearance simulation
A gradient-based optical-flow cardiac motion estimation method for cine and tagged MR images
Cardiac MR perfusion image processing techniques: A survey
Cooperative multi-task learning and interpretable image biomarkers for glioma grading and molecular subtyping
DFuse-Net: Disentangled feature fusion with uncertainty-aware learning for reliable multi-modal brain tumor segmentation
Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation
Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
SUGAR: Spherical ultrafast graph attention framework for cortical surface registration
MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation
Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignment
Retinal image registration method for myopia development
Do we really need dice? The hidden region-size biases of segmentation losses
CartiMorph: A framework for automated knee articular cartilage morphometrics
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies
Non-iterative and uncertainty-aware MRI-based liver fat estimation using an unsupervised deep learning method
Automatic graph-based method for localization of cochlear implant electrode arrays in clinical CT with sub-voxel accuracy
Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database
Cross-modal attention for multi-modal image registration
DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame
Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation
VR-Caps: A Virtual Environment for Capsule Endoscopy
Registration and difference analysis of corresponding mammogram images
Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction
A three-component deformation model for image-guided surgery
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Contrastive machine learning reveals species -shared and -specific brain functional architecture
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks
Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease
Segmentation of the Visible Human for high-quality volume-based visualization
A Markov random field approach to group-wise registration/mosaicing with application to ultrasound
Magnetic resonance elastography: Non-invasive mapping of tissue elasticity
Dynamic MRI reconstruction with end-to-end motion-guided network
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
Spine detection in CT and MR using iterated marginal space learning
MSARAE: Multiscale adversarial regularized autoencoders for cortical network classification
Self-supervised learning for medical image analysis using image context restoration
Real-time multimodal image registration with partial intraoperative point-set data
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework
Shape-aware surface reconstruction from sparse 3D point-clouds
Musculoskeletal MRI segmentation using multi-resolution simplex meshes with medial representations
Novel and facile criterion to assess the accuracy of WSS estimation by 4D flow MRI
Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization
Constrained non-rigid registration for use in image-guided adaptive radiotherapy
Medical image translation with deep learning: Advances, datasets and perspectives
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields
Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis
Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions
Cross-attention multi-branch network for fundus diseases classification using SLO images
Sensorless freehand 3D ultrasound in real tissue: Speckle decorrelation without fully developed speckle
Confhusius: A robust and fully automatic calibration method for 3D freehand ultrasound
Statistical atlas construction via weighted functional boxplots
A CANDLE for a deeper in vivo insight
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data
Tomoelastography by multifrequency wave number recovery from time-harmonic propagating shear waves
CIMB-MVQA: Causal intervention on modality-specific biases for medical visual question answering
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
Boundary element method-based regularization for recovering of LV deformation
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning
3D harmonic phase tracking with anatomical regularization
CycleMorph: Cycle consistent unsupervised deformable image registration
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature
A method of 2D/3D registration of a statistical mouse atlas with a planar X-ray projection and an optical photo
Fast block flow tracking of atrial septal defects in 4D echocardiography
From WSI-level to patch-level: Structure prior-guided binuclear cell fine-grained detection
Strain measurement in the left ventricle during systole with deformable image registration
Distributed contrastive learning for medical image segmentation
A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers
Angle-closure assessment in anterior segment OCT images via deep learning
A structured latent model for ovarian carcinoma subtyping from histopathology slides
Curriculum label distribution learning for imbalanced medical image segmentation
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI
Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity
Real-time recognition of surgical tasks in eye surgery videos
Prediction of inter-fractional radiotherapy dose plans with domain translation in spatiotemporal embeddings
Large-scale retrieval for medical image analytics: A comprehensive review
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023
Automated segmentation of the optic nerve head for diagnosis of glaucoma
Characterization of spine and torso stiffness via differentiable biomechanics
Extracting and visualizing physiological parameters using dynamic contrast-enhanced magnetic resonance imaging of the breast
Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans
Semantic instance segmentation with discriminative deep supervision for medical images
Structure-guided MR-to-CT synthesis with spatial and semantic alignments for attenuation correction of whole-body PET/MR imaging
DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging
Reslicing axially sampled 3D shapes using elliptic Fourier descriptors
DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer
'Squeeze & excite' guided few-shot segmentation of volumetric images
Self-supervised anomaly detection, staging and segmentation for retinal images
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Corrigendum to 'Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping' [Medical Image Analysis Volume 75 (2022) 102230]
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications
From tissue to sound: A new paradigm for medical sonic interaction design
Tumor feature visualization with unsupervised learning
Dynamic multi feature-class Gaussian process models
Conditional generation of medical images via disentangled adversarial inference
Discovering common change-point patterns in functional connectivity across subjects
Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories
Reconstruction of fetal brain MRI with intensity matching and complete outlier removal
Skin lesion segmentation via generative adversarial networks with dual discriminators
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare
FetalFlex: Anatomy-guided diffusion model for flexible control on fetal ultrasound image synthesis
Image analysis and machine learning in digital pathology: Challenges and opportunities
Generation of 3D shape, density, cortical thickness and finite element mesh of proximal femur from a DXA image
BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations
Noise-inspired diffusion model for generalizable low-dose CT reconstruction
Brain multigraph prediction using topology-aware adversarial graph neural network
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network
Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement
Extraction of the midsagittal plane from morphological neuroimages using the Kullback-Leibler's measure
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR
Diffusion MRI abnormalities detection with orientation distribution functions: A multiple sclerosis longitudinal study
Learning deformation and structure simultaneously: In situ endograft deformation analysis
Special issue on MICCAI 2019
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion
Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation
Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation
Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI
An automatic genetic algorithm framework for the optimization of three-dimensional surgical plans of forearm corrective osteotomies
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI
Interactive live-wire boundary extraction
Robotic tissue tracking for beating heart mitral valve surgery