yusuke1997/dblp-id-title huggingface dataset:
Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy
FDA-Recon: Feature and data alignment reconstruction for sparse-view CBCT
Anatomically plausible segmentations: Explicitly preserving topology through prior deformations
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration
Deconvolution for DCE-MRI using an exponential approximation basis
Personalized, relevance-based Multimodal Robotic Imaging and augmented reality for Computer Assisted Interventions
Analysis of fMRI time series with mutual information
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI
Bi-planar image segmentation based on variational geometrical active contours with shape priors
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
OFx: A method of 4D image construction from free-breathing non-gated MRI slice acquisitions of the thorax via optical flux
Quantifying the brain's sheet structure with normalized convolution
Skin lesion tracking using structured graphical models
An automated pipeline for cortical sulcal fundi extraction
Fully automated 2D-3D registration and verification
Enhancing lesion detection in automated breast ultrasound using unsupervised multi-view contrastive learning with 3D DETR
Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network
Diff-UNet: A diffusion embedded network for robust 3D medical image segmentation
Robust detection and segmentation of cell nuclei in biomedical images based on a computational topology framework
Biomechanical modeling combined with pressure-volume loop analysis to aid surgical planning in patients with complex congenital heart disease
Level set based cerebral vasculature segmentation and diameter quantification in CT angiography
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI
Modelling of soft tissue deformation for laparoscopic surgery simulation
The Third International Workshop on Biomedical Image Registration - WBIR 2006
Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning
Learning with limited target data to detect cells in cross-modality images
Computer-aided colorectal tumor classification in NBI endoscopy using local features
Multimodal image registration using floating regressors in the joint intensity scatter plot
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization
Dense correspondence of deformable volumetric images via deep spectral embedding and descriptor learning
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images
SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images
Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke
A novel approach for improved tractography and quantitative analysis of probabilistic fibre tracking curves
Fast fetal head compounding from multi-view 3D ultrasound
Tailor-made heart simulation predicts the effect of cardiac resynchronization therapy in a canine model of heart failure
Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images
Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance
Denoising and fast diffusion imaging with physically constrained sparse dictionary learning
On the challenges and perspectives of foundation models for medical image analysis
Electrocardiographic imaging of atrial and ventricular electrical activation
Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation
Tractometer: Towards validation of tractography pipelines
Strategies for brain shift evaluation
Unsupervised dealiasing and denoising of color-Doppler data
Omnidirectional displacements for deformable surfaces
Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors
Anisotropic path searching for automatic neuron reconstruction
Combinative multi-scale level set framework for echocardiographic image segmentation
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge
Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images
Suite of meshless algorithms for accurate computation of soft tissue deformation for surgical simulation
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping
Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning
A method for vector displacement estimation with ultrasound imaging and its application for thyroid nodular disease
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction
General retinal image enhancement via reconstruction: Bridging distribution shifts using latent diffusion adaptors
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
Motion robust magnetic resonance imaging via efficient Fourier aggregation
FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning
A Monte Carlo approach to rolling leukocyte tracking in vivo
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers
Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system
Towards a validation of atlas warping techniques
Guided image generation for improved surgical image segmentation
A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos
An advanced system for the simulation and planning of orthodontic treatment
Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images
Robust brain ROI segmentation by deformation regression and deformable shape model
Statistical shape analysis of neuroanatomical structures based on medial models
Uncertainty-aware domain alignment for anatomical structure segmentation
Model-informed machine learning for multi-component T2 relaxometry
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis
Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization
SAM-Swin: SAM-driven dual-swin transformers with adaptive lesion enhancement for Laryngo-Pharyngeal tumor detection
A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs
A deep learning framework for quality assessment and restoration in video endoscopy
SD-CNN: A static-dynamic convolutional neural network for functional brain networks
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy
Three-dimensional micro-structurally informed in silico myocardium - Towards virtual imaging trials in cardiac diffusion weighted MRI
Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection
Motion-based camera localization system in colonoscopy videos
Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data
Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical fluorescence imaging to characterize action potential propagation
Morphology-driven automatic segmentation of MR images of the neonatal brain
Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis
BUFNet: Boundary-aware and uncertainty-driven multi-modal fusion network for MR brain tumor segmentation
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review
Editorial 2004
Automated model-based vertebra detection, identification, and segmentation in CT images
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images
Automated ultrasonography of hepatocellular carcinoma using discrete wavelet transform based deep-learning neural network
Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis
DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks
Predicting soft tissue deformations for a maxillofacial surgery planning system: From computational strategies to a complete clinical validation
Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors
Corrigendum to "A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation" [Medical Image Analysis 85 (2023) 102745]
Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression
⊥-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning
Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net
Automated ultrasound assessment of amniotic fluid index using deep learning
ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy
Hierarchical Bayesian myocardial perfusion quantification
A similarity measure for nonrigid volume registration using known joint distribution of targeted tissue: Application to dynamic CT data of the liver
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Model-Based High-Definition Dynamic Contrast Enhanced MRI for Concurrent Estimation of Perfusion and Microvascular Permeability
Explicit shape descriptors: Novel morphologic features for histopathology classification
Tongue contour tracking in dynamic ultrasound via higher-order MRFs and efficient fusion moves
DeepSSM: A blueprint for image-to-shape deep learning models
Prostate biopsy tracking with deformation estimation
From computer-assisted intervention research to clinical impact: The need for a holistic approach
Intra-operative 3D guidance and edema detection in prostate brachytherapy using a non-isocentric C-arm
Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer
S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
Efficient MR image reconstruction for compressed MR imaging
SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation
Template-guided reconstruction of pulmonary segments with neural implicit functions
TestFit: A plug-and-play one-pass test time method for medical image segmentation
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
Roto-translation equivariant convolutional networks: Application to histopathology image analysis
Spatial transcriptomics expression prediction from histopathology based on cross-modal mask reconstruction and contrastive learning
Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers
Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks
FiCRoN, a deep learning-based algorithm for the automatic determination of intracellular parasite burden from fluorescence microscopy images
Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain
Quantitative evaluation of convolution-based methods for medical image interpolation
Locality-constrained Subcluster Representation Ensemble for lung image classification
Paired phase and magnitude reconstruction neural network for multi-shot diffusion magnetic resonance imaging
A lung structure and function information-guided residual diffusion model for predicting idiopathic pulmonary fibrosis progression
An atlas-navigated optimal medial axis and deformable model algorithm (NOMAD) for the segmentation of the optic nerves and chiasm in MR and CT images
Recovery of respiratory motion and deformation of the liver using laparoscopic freehand 3D ultrasound system
On the identification of the blood vessel confounding effect in intravoxel incoherent motion (IVIM) Diffusion-Weighted (DW)-MRI in liver: An efficient sparsity based algorithm
Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets
Multi-task recurrent convolutional network with correlation loss for surgical video analysis
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
Estimation of three-dimensional cardiac velocity fields: assessment of a differential method and application to three-dimensional CT data
Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration
Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios
Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image
Validation of dynamic heart models obtained using non-linear registration for virtual reality training, planning, and guidance of minimally invasive cardiac surgeries
A 4D hyperspherical interpretation of q-space
CaliDiff: Multi-rater annotation calibrating diffusion probabilistic model towards medical image segmentation
Ultrasound-fluoroscopy registration for prostate brachytherapy dosimetry
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse
Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer
Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimation
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction
Cell-sensitive phase contrast microscopy imaging by multiple exposures
Unifying neural learning and symbolic reasoning for spinal medical report generation
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation
Synomaly noise and multi-stage diffusion: A novel approach for unsupervised anomaly detection in medical images
Boundary-rendering network for breast lesion segmentation in ultrasound images
A model-based MR parameter mapping network robust to substantial variations in acquisition settings
Director Field Analysis (DFA): Exploring Local White Matter Geometric Structure in Diffusion MRI
WarpDrive: Improving spatial normalization using manual refinements
PLOSL: Population learning followed by one shot learning pulmonary image registration using tissue volume preserving and vesselness constraints
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis
Segment anything model for medical images?
Super-resolved enhancing and edge deghosting (SEED) for spatiotemporally encoded single-shot MRI
Supervised tractogram filtering using Geometric Deep Learning
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images
Unsupervised model adaptation for source-free segmentation of medical images
Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species
Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images
Neighbor-aware calibration of segmentation networks with penalty-based constraints
A biologically inspired algorithm for microcalcification cluster detection
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions
Open science - combining open data and open source software: Medical image analysis with the Insight Toolkit
A deep weakly semi-supervised framework for endoscopic lesion segmentation
Local fractal dimension based approaches for colonic polyp classification
Boundary-aware information maximization for self-supervised medical image segmentation
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate
Automatic analysis of diabetic peripheral neuropathy using multi-scale quantitative morphology of nerve fibres in corneal confocal microscopy imaging
Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
Anatomically-aware uncertainty for semi-supervised image segmentation
Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection
Robust inverse-consistent affine CT-MR registration in MRI-assisted and MRI-alone prostate radiation therapy
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge
Pixel-wise recognition for holistic surgical scene understanding
Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment
Automated lumen definition from 30 MHz intravascular ultrasound images
Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
Advances and challenges in deformable image registration: From image fusion to complex motion modelling
Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology
Evaluation of using absolute versus relative base level when analyzing brain activation images using the scale-space primal sketch
Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients
Manifold learning on brain functional networks in aging
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain
The Brain Bench: virtual tools for stereotactic frame neurosurgery
Progressive multi-atlas label fusion by dictionary evolution
A survey of medical image registration - under review
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning
Soft and self constrained clustering for group-based labeling
Measurement of local orientation of cardiomyocyte aggregates in human left ventricle free wall samples using X-ray phase-contrast microtomography
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning
Reliable estimation of incoherent motion parametric maps from diffusion-weighted MRI using fusion bootstrap moves
Assisting the examination of large histopathological slides with adaptive forests
Slice-to-volume medical image registration: A survey
Fast extraction of minimal paths in 3D images and applications to virtual endoscopy
Simultaneous segmentation and anatomical labeling of the cerebral vasculature
Stochastic optimization with randomized smoothing for image registration
Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach
Interventional digital tomosynthesis from a standard fluoroscopy system using 2D-3D registration
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning
Diffusion tensor magnetic resonance image regularization
A layered model of a virtual human intestine for surgery simulation
HALO: High-frequency enhanced dose-aware diffusion model for arbitrary low-dose PET reconstruction
Learnable color space conversion and fusion for stain normalization in pathology images
SNR enhancement of highly-accelerated real-time cardiac MRI acquisitions based on non-local means algorithm
Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge
Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval
A novel gradient inversion attack framework to investigate privacy vulnerabilities during retinal image-based federated learning
Using the logarithm of odds to define a vector space on probabilistic atlases