yusuke1997/dblp-id-title huggingface dataset:
Model-based detection of spiculated lesions in mammograms
Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease
Effects of biventricular pacing and scar size in a computational model of the failing heart with left bundle branch block
Latent Transformer Models for out-of-distribution detection
Cell population tracking and lineage construction with spatiotemporal context
Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology
Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging
Retrospective 4D MR image construction from free-breathing slice Acquisitions: A novel graph-based approach
SiSSR: Simultaneous subdivision surface registration for the quantification of cardiac function from computed tomography in canines
A novel spatial-temporal image fusion method for augmented reality-based endoscopic surgery
Knowledge-driven interpretative conditional diffusion model for contrast-free myocardial infarction enhancement synthesis
Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning
Ark + : Supervised training a single high-performance AI foundation model from many differently labeled datasets - no label consolidation required
Vessel extraction from non-fluorescein fundus images using orientation-aware detector
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images
In vivo human cardiac fibre architecture estimation using shape-based diffusion tensor processing
Unified heat kernel regression for diffusion, kernel smoothing and wavelets on manifolds and its application to mandible growth modeling in CT images
AdverIN: Monotonic adversarial intensity attack for domain generalization in medical image segmentation
Detection, segmentation, simulation and visualization of aortic dissections: A review
Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator
Accurate brain age prediction with lightweight deep neural networks
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning
Truth cube: Establishing physical standards for soft tissue simulation
Multi-instance curriculum learning for histopathology image classification with bias reduction
SynMSE: A multimodal similarity evaluator for complex distribution discrepancy in unsupervised deformable multimodal medical image registration
Riemannian metric optimization on surfaces (RMOS) for intrinsic brain mapping in the Laplace-Beltrami embedding space
Probabilistic tractography using Lasso bootstrap
A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data
Kernel regression based feature extraction for 3D MR image denoising
A saliency detection-inspired method for optic disc and cup segmentation
Building 3D sulcal models using local geometry
SupReMix: Supervised contrastive learning for medical imaging regression with mixup
Breast lesion co-localisation between X-ray and MR images using finite element modelling
Real-time synthesis of bleeding for virtual hysteroscopy
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer
Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs
Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA
CranialVault and its CRAVE tools: A clinical computer assistance system for deep brain stimulation (DBS) therapy
Robust registration for computer-integrated orthopedic surgery: Laboratory validation and clinical experience
Statistical deformable bone models for robust 3D surface extrapolation from sparse data
DOVE: Doodled vessel enhancement for photoacoustic angiography super resolution
Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images
Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos
Tissue metabolism driven arterial tree generation
A unified framework for cross-modality multi-atlas segmentation of brain MRI
BrainSuite: An automated cortical surface identification tool
Synthesizing retinal and neuronal images with generative adversarial nets
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI
A robust and interpretable deep learning framework for multi-modal registration via keypoints
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT
Posterior shape models
Diffusion models in medical imaging: A comprehensive survey
ElastoNet: Neural network-based multicomponent MR elastography wave inversion with uncertainty quantification
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data
Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry
A positive/unlabeled approach for the segmentation of medical sequences using point-wise supervision
Segmentation of the right ventricular myocardial infarction in multi-centre cardiac magnetic resonance images
Inferring brain causal and temporal-lag networks for recognizing abnormal patterns of dementia
BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis
Statistical shape modeling of low level visual area borders
Breast MRI and X-ray mammography registration using gradient values
Trimming-then-augmentation: Towards robust depth and odometry estimation for endoscopic images
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images
Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery
Self-supervised driven consistency training for annotation efficient histopathology image analysis
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications
When multiple instance learning meets foundation models: Advancing histological whole slide image analysis
Automated age estimation from MRI volumes of the hand
A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms
The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction
A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes
A linear programming approach to reconstructing subcellular structures from confocal images for automated generation of representative 3D cellular models
AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes
Relax and focus on brain tumor segmentation
GEM-pRF: GPU-empowered mapping of population receptive fields for large-scale fMRI analysis
Exploiting structural redundancy in q-space for improved EAP reconstruction from highly undersampled (k, q)-space in DMRI
Segmentation of image ensembles via latent atlases
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment
Automated motor-leg scoring in stroke via a stable graph causality debiasing model
Nonrigid registration of 3D tensor medical data
Deep learning in mammography and breast histology, an overview and future trends
Analyzing the neocortical fine-structure
Digital twinning of the human ventricular activation sequence to Clinical 12-lead ECGs and magnetic resonance imaging using realistic Purkinje networks for in silico clinical trials
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance
Numerical determination of the susceptibility caused geometric distortions in magnetic resonance imaging
Standardization of ultrasound images across various centers: M2O-DiffGAN bridging the gaps among unpaired multi-domain ultrasound images
3D multi-modality Transformer-GAN for high-quality PET reconstruction
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training
Unsupervised learning of spatially varying regularization for diffeomorphic image registration
Generalized image models and their application as statistical models of images
A non-parametric vessel detection method for complex vascular structures
Robust CTA lumen segmentation of the atherosclerotic carotid artery bifurcation in a large patient population
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
A survey of deep-learning-based radiology report generation using multimodal inputs
An efficient locally affine framework for the smooth registration of anatomical structures
Dual-stream pyramid registration network
A fully automated tortuosity quantification system with application to corneal nerve fibres in confocal microscopy images
Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: Adaptive disconnection algorithm
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy
Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation
MBSS-T1: Model-based subject-specific self-supervised motion correction for robust cardiac T1 mapping
Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks
S2CAC: Semi-supervised coronary artery calcium segmentation via scoring-driven consistency and negative sample boosting
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity
FPM-R2Net: Fused Photoacoustic and operating Microscopic imaging with cross-modality Representation and Registration Network
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy
Interactive 3D editing tools for image segmentation
Stochastic Gradient Langevin dynamics for joint parameterization of tracer kinetic models, input functions, and T1 relaxation-times from undersampled k-space DCE-MRI
A unified framework for clustering and quantitative analysis of white matter fiber tracts
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge
A deep learning approach for the analysis of masses in mammograms with minimal user intervention
A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods
A representation for mammographic image processing
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection
Longitudinal self-supervised learning
3D early embryogenesis image filtering by nonlinear partial differential equations
Detecting low-amplitude biomarker activations via decomposition of complex-valued fMRI data with collaborative phase and magnitude sparsity
A real-time and registration-free framework for dynamic shape instantiation
Three-dimensional spatial compounding of ultrasound images
Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy
Spatio-temporal cell cycle phase analysis using level sets and fast marching methods
DWI filtering using joint information for DTI and HARDI
Beyond strong labels: Weakly-supervised learning based on Gaussian pseudo labels for the segmentation of ellipse-like vascular structures in non-contrast CTs
Recurrent inference machine for medical image registration
One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors
Cross contrast multi-channel image registration using image synthesis for MR brain images
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning
Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease
Computational brain connectivity mapping: A core health and scientific challenge
An efficient motion estimator with application to medical image registration
A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data
Robust guidewire tracking under large deformations combining segment-like features (SEGlets)
An efficient algorithm for dynamic MRI using low-rank and total variation regularizations
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks
Causal inertia proximal Mamba network for magnetic resonance image reconstruction
Automated labeling using tracked ultrasound imaging: Application in tracking vertebrae during spine surgery
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images
How many models/atlases are needed as priors for capturing anatomic population variations?
Model-unrolled fast MRI with weakly supervised lesion enhancement
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
Multi-contrast low-field MRI acceleration with k-space progressive learning and image-space hybrid attention fusion
A discriminative feature selection approach for shape analysis: Application to fetal brain cortical folding
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks
3D nonrigid registration via optimal mass transport on the GPU
A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
Estimation of 3D left ventricular deformation from echocardiography
Patient-specific biomechanical model as whole-body CT image registration tool
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
Adaptive, template moderated, spatially varying statistical classification
Neighbourhood approximation using randomized forests
Towards improved breast mass detection using dual-view mammogram matching
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning
Fast re-rendering of volume and surface graphics by depth, color, and opacity buffering
Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts
Structural analysis of fMRI data: A surface-based framework for multi-subject studies
Leveraging sparse annotations for leukemia diagnosis on the large leukemia dataset
Rapid inference of personalised left-ventricular meshes by deformation-based differentiable mesh voxelization
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging
Few-shot medical image segmentation with high-fidelity prototypes
A spatially-distributed computational model to quantify behaviour of contrast agents in MR perfusion imaging
Extracting branching tubular object geometry via cores
Model tags: direct three-dimensional tracking of heart wall motion from tagged magnetic resonance images
Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures
A 3D generalization of user-steered live-wire segmentation
A model of deformable rings for interpretation of wireless capsule endoscopic videos
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view
A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data
Automatic segmentation variability estimation with segmentation priors
A Method for handling intensity inhomogenieties in fMRI sequences of moving anatomy of the early developing brain
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling
Multi-atlas pancreas segmentation: Atlas selection based on vessel structure
Automatic multi-resolution shape modeling of multi-organ structures
Probabilistic framework for tracking in artifact-prone 3D echocardiograms
MPF-net: An effective framework for automated cobb angle estimation
Autocalibration method for non-stationary CT bias correction
Non-local MRI upsampling
3D prostate model formation from non-parallel 2D ultrasound biopsy images
The first MICCAI challenge on PET tumor segmentation
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs
Atrial scar quantification via multi-scale CNN in the graph-cuts framework
Capturing intraoperative deformations: research experience at Brigham and Women's hospital
MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis
Editorial for the MEDIA MICCAI special issue 2021
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts
Evaluating a robust contour tracker on echocardiographic sequences
Modelling of interaction between a spatula and a human brain
Dual optimization based prostate zonal segmentation in 3D MR images
CMC-Net: 3D calf muscle compartment segmentation with sparse annotation
A generalizable diffusion framework for 3D low-dose and few-view cardiac SPECT imaging
3D actin network centerline extraction with multiple active contours
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images
High resolution cortical bone thickness measurement from clinical CT data
Automatic detection of referral patients due to retinal pathologies through data mining
Large deformation diffeomorphic registration of diffusion-weighted imaging data
Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification
Artifact- and content-specific quality assessment for MRI with image rulers
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net
Data assimilation using a gradient descent method for estimation of intraoperative brain deformation
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration
Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images
Multi-task learning for the segmentation of organs at risk with label dependence
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation
A competitive strategy for atrial and aortic tract segmentation based on deformable models
Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier
Tumor invasion margin on the Riemannian space of brain fibers
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications
Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation
Sparse representation of whole-brain fMRI signals for identification of functional networks
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks
Hyper-fusion network for semi-automatic segmentation of skin lesions
Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation
Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information
DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images
Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images
Volume distribution of cerebrospinal fluid using multispectral MR imaging
Computer-aided detection of exophytic renal lesions on non-contrast CT images
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis
Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images
Generalized pixel profiling and comparative segmentation with application to arteriovenous malformation segmentation
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms