yusuke1997/dblp-id-title huggingface dataset:
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising
Fast elastic registration of soft tissues under large deformations
MPLDM: Multi-modal prosthetic loosening diagnostic model for total hip arthroplasty
How does the femoral cortex depend on bone shape? A methodology for the joint analysis of surface texture and shape
Fast detection of the optic disc and fovea in color fundus photographs
Classification, registration and segmentation of ear canal impressions using convolutional neural networks
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics
Patient independent representation of the detailed cardiac ventricular anatomy
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
Observation-driven adaptive differential evolution and its application to accurate and smooth bronchoscope three-dimensional motion tracking
Serial registration of intraoperative MR images of the brain
Groupwise multi-atlas segmentation of the spinal cord's internal structure
Tracking and motion analysis of the left ventricle with deformable superquadrics
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing
Manifold learning for image-based breathing gating in ultrasound and MRI
Deep triplet hashing network for case-based medical image retrieval
Modeling intravasation of liquid distension media in surgical simulators
Large-Scale medical image analytics: Recent methodologies, applications and Future directions
Simulation of brain tumors in MR images for evaluation of segmentation efficacy
Diffusion tensor transformation for personalizing target volumes in radiation therapy
Active appearance pyramids for object parametrisation and fitting
PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition
A laparoscopy-based method for BRDF estimation from in vivo human liver
Weakly supervised object detection with 2D and 3D regression neural networks
Heterogeneous Multifrequency Direct Inversion (HMDI) for magnetic resonance elastography with application to a clinical brain exam
Joint coil sensitivity and motion correction in parallel MRI with a self-calibrating score-based diffusion model
A survey of medical image registration
Vascular image registration techniques: A living review
Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography
HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework
SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision
Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function
Mask-aware transformer with structure invariant loss for CT translation
Recovering the X-ray projection geometry for three-dimensional tomographic reconstruction with additional sensors: Attached camera versus external navigation system
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning
Fractal and multifractal analysis: A review
Biomechanically constrained groupwise ultrasound to CT registration of the lumbar spine
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation
Renal compartment segmentation in DCE-MRI images
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images
MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion
Sampling sphere orientation distribution: An efficient method to quantify trabecular bone fabric on grayscale images
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks
Deformable models with sparsity constraints for cardiac motion analysis
Realistic image normalization for multi-Domain segmentation
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images
Fusion and pure feature extraction framework for intraoperative hyperspectral of thyroid lesion
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction
Rapid whole brain motion-robust mesoscale in-vivo MR imaging using multi-scale implicit neural representation
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation
Improved segmentation of white matter tracts with adaptive Riemannian metrics
A comprehensive survey on deep active learning in medical image analysis
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge
Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods
Complex fracture reduction by exact identification of the fracture zone
Confidence intervals for performance estimates in brain MRI segmentation
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
Computerized identification of airway wall in CT examinations using a 3D active surface evolution approach
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images
Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions
Fast predictive simple geodesic regression
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Stereo vision-based tracking of soft tissue motion with application to online ablation control in laser microsurgery
High-resolution 3D abdominal segmentation with random patch network fusion
Weakly-supervised convolutional neural networks for multimodal image registration
A novel method for identifying a graph-based representation of 3-D microvascular networks from fluorescence microscopy image stacks
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data
Normalized mutual information based registration using k-means clustering and shading correction
Ultrasound confidence maps using random walks
Deep image mining for diabetic retinopathy screening
Multimodal image synthesis based on disentanglement representations of anatomical and modality specific features, learned using uncooperative relativistic GAN
Surface-constrained volumetric registration for the early developing brain
Diffusion models for out-of-distribution detection in digital pathology
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
Quantitative evaluation of local myocardial blood volume in contrast echocardiography
Modelling of image-catheter motion for 3-D IVUS
CorteXpert: A model-based method for automatic renal cortex segmentation
Two-dimensional spatial and temporal displacement and deformation field fitting from cardiac magnetic resonance tagging
Upper-body free-breathing Magnetic Resonance Fingerprinting applied to the quantification of water T1 and fat fraction
Adaptive registration using local information measures
Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset
Intensity inhomogeneity correction of SD-OCT data using macular flatspace
Dynamic-weighting hierarchical segmentation network for medical images
A multimodal deep learning model for cardiac resynchronisation therapy response prediction
Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks
Vision-based and marker-less surgical tool detection and tracking: a review of the literature
Automatic recognition of cortical sulci of the human brain using a congregation of neural networks
A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery
Semi-automatic level-set based segmentation and stenosis quantification of the internal carotid artery in 3D CTA data sets
Temporal models for mitotic phase labelling
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
Unsupervised anomaly detection in brain MRI via disentangled anatomy learning
A simulation system for biomarker evolution in neurodegenerative disease
Symmetry-based regularization in deep breast cancer screening
Riemannian frameworks for the harmonization of resting-state functional MRI scans
Supervised white matter bundle segmentation in glioma patients with transfer learning
Spherical wavelet transform for ODF sharpening
UN-SAM: Domain-adaptive self-prompt segmentation for universal nuclei images
Charisma: An integrated approach to automatic H&E-stained skeletal muscle cell segmentation using supervised learning and novel robust clump splitting
Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
Gland segmentation in colon histology images: The glas challenge contest
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency
Geometrical analysis of registration errors in point-based rigid-body registration using invariants
Submillimeter diffusion MRI using an in-plane segmented 3D multi-slab acquisition and denoiser-regularized reconstruction
SpineRegNet: Spine Registration Network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field
Detection and segmentation of drusen deposits on human retina: Potential in the diagnosis of age-related macular degeneration
Efficient globally optimal segmentation of cells in fluorescence microscopy images using level sets and convex energy functionals
Dermoscopic image retrieval based on rotation-invariance deep hashing
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection
One-shot neuroanatomy segmentation through online data augmentation and confidence aware pseudo label
Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation
M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy
Tissue deformation and shape models in image-guided interventions: a discussion paper
REPAIR: Reciprocal assistance imputation-representation learning for glioma diagnosis with incomplete MRI sequences
A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint
Coronary vessel trees from 3D imagery: A topological approach
Robust registration procedures for endoscopic imaging
A graph theoretic approach for computing 3D+time biventricular cardiac strain from tagged MRI data
A universal biventricular coordinate system incorporating valve annuli: Validation in congenital heart disease
Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image
MedScale-Former: Self-guided multiscale transformer for medical image segmentation
A simulation-driven supervised learning framework to estimate brain microstructure using diffusion MRI
Sparse regularization for fiber ODF reconstruction: From the suboptimality of l 2 and l 1 priors to l 0
MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
Segmentation of blood vessels from red-free and fluorescein retinal images
Integrating watersheds and critical point analysis for object detection in discrete 2D images
Cephalogram synthesis and landmark detection in dental cone-beam CT systems
Retrospective correction of the heel effect in hand radiographs
Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning
Comparison of atlas-based techniques for whole-body bone segmentation
Multimodal super-resolved q -space deep learning
Teaching medical image analysis with the Insight Toolkit
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis
Providing visual information to validate 2-D to 3-D registration
Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training
Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images
Three-dimensional motion reconstruction and analysis of the right ventricle using tagged MRI
MedIAnomaly: A comparative study of anomaly detection in medical images
Retinal image analysis based on mixture models to detect hard exudates
A review of 3D/2D registration methods for image-guided interventions
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data
Detecting overlapping instances in microscopy images using extremal region trees
4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: A holistic treatment of multiple disconnected anatomical structures
Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation
Segmentation of the thrombus of giant intracranial aneurysms from CT angiography scans with lattice Boltzmann method
E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer
AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound
Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features
Graph neural networks in histopathology: Emerging trends and future directions
Structural and radiometric asymmetry in brain images
Joint maximum likelihood estimation of activation and Hemodynamic Response Function for fMRI
Clinical validation of saliency maps for understanding deep neural networks in ophthalmology
MAP MRF joint segmentation and registration of medical images
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry
A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model
Imitation learning for improved 3D PET/MR attenuation correction
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation
Next-generation surgical navigation: Marker-less multi-view 6DoF pose estimation of surgical instruments
Dynamic measurement of soft tissue viscoelastic properties with a torsional resonator device
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis
Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome
Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images
A curvelet-based patient-specific prior for accurate multi-modal brain image rigid registration
SicTTA: Single image continual test time adaptation for medical image segmentation
An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology
Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs
Wavelet optimization for content-based image retrieval in medical databases
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes
Neural implicit surface reconstruction of freehand 3D ultrasound volume with geometric constraints
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
Automated multi-atlas segmentation of cardiac 4D flow MRI
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
A self-supervised spatio-temporal attention network for video-based 3D infant pose estimation
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation
Cardiac magnetic resonance imaging in small animal models of human heart failure
Medical image analysis : Foreword
Using synthetic data generation to train a cardiac motion tag tracking neural network
Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature
Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data
Temporal and volumetric denoising via quantile sparse image prior
PE-RBNAS: A robust neural architecture search with progressive-enhanced strategies for brain network classification
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework
Adaptive dynamic inference for few-shot left atrium segmentation
Cycle consistent twin energy-based models for image-to-image translation
Real-time localization of articulated surgical instruments in retinal microsurgery
Cerebrovascular segmentation from TOF using stochastic models
MUTE: A multilevel-stimulated denoising strategy for single cataractous retinal image dehazing
Trophectoderm segmentation in human embryo images via inceptioned U-Net
Efficient and robust computation of PDF features from diffusion MR signal
Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling
Prompt tuning for parameter-efficient medical image segmentation
Deep learning models of cognitive processes constrained by human brain connectomes
Extracting keyframes of breast ultrasound video using deep reinforcement learning
A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation
Predicting future cognitive decline with hyperbolic stochastic coding
Automatic segmentation of intra-cochlear anatomy in post-implantation CT of unilateral cochlear implant recipients
Automated correction of improperly rotated diffusion gradient orientations in diffusion weighted MRI
Assessment and stenting of tracheal stenosis using deformable shape models
ProtoASNet: Comprehensive evaluation and enhanced performance with uncertainty estimation for aortic stenosis classification in echocardiography
Weakly supervised cell instance segmentation under various conditions
On-line analysis of echocardiographic image sequences
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction
Medical image segmentation on GPUs - A comprehensive review
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction
Feature-based multi-resolution registration of immunostained serial sections
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification
Myocardial deformation recovery from cine MRI using a nearly incompressible biventricular model
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis
Symmetry axis computation for almost-symmetrical and asymmetrical objects: Application to pigmented skin lesions
Tracking spatial temporal details in ultrasound long video via wavelet analysis and memory bank
Segmentation of the luminal border in intravascular ultrasound B-mode images using a probabilistic approach
Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs
3D image segmentation of deformable objects with joint shape-intensity prior models using level sets
Skeleton2Mask: Skeleton-supervised airway segmentation
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
A framework for optimizing measurement weight maps to minimize the required sample size
High-resolution feature based central venous catheter tip detection network in X-ray images
SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessment
Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network
A survey on deep learning in medical image analysis
3D curve inference for diffusion MRI regularization and fibre tractography
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network
Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments
Multiple-correlation similarity for block-matching based fast CT to ultrasound registration in liver interventions
CP-Net: Instance-aware part segmentation network for biological cell parsing
Pancreas segmentation using a dual-input v-mesh network
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome
Autoadaptive motion modelling for MR-based respiratory motion estimation
Robust T-Loss for medical image segmentation
Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior
A probabilistic framework for image information fusion with an application to mammographic analysis
Special issue on computational pathology: An overview
Distilling sub-space structure across views for cardiac indices estimation