yusuke1997/dblp-id-title huggingface dataset:
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification
Guiding systems for computer-assisted surgery: introducing synergistic devices and discussing the different approaches
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization
MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images
A kernel-based image denoising method for improving parametric image generation
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation
Mammography segmentation with maximum likelihood active contours
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation
Generative-based airway and vessel morphology quantification on chest CT images
Automated diagnosis of breast ultrasonography images using deep neural networks
Cervical cytopathology image refocusing via multi-scale attention features and domain normalization
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its Effect on Image Correspondence
Computing group cardinality constraint solutions for logistic regression problems
Cardiac material markers from tagged MR images
A path algorithm for the support vector domain description and its application to medical imaging
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)
Automatic skull defect restoration and cranial implant generation for cranioplasty
Dissecting self-supervised learning methods for surgical computer vision
The benefit of tree sparsity in accelerated MRI
An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours
Towards laparoscopic tissue aspiration
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke
Robust image representations with counterfactual contrastive learning
Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI
A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation
Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning
HELPNet: Hierarchical perturbations consistency and entropy-guided ensemble for scribble supervised medical image segmentation
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges
A Generalized Linear modeling approach to bootstrapping multi-frame PET image data
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution
Fusion of multi-tracer PET images for dose painting
CVFSNet: A Cross View Fusion Scoring Network for end-to-end mTICI scoring
A survey on incorporating domain knowledge into deep learning for medical image analysis
Segmentation of B-mode cardiac ultrasound data by Bayesian Probability Maps
Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem
Semiautomatic segmentation of brain exterior in magnetic resonance images driven by empirical procedures and anatomical knowledge
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry
Surgical spectral imaging
Calibration of laryngeal endoscopic high-speed image sequences by an automated detection of parallel laser line projections
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging
Augmented reality guidance for needle biopsies: An initial randomized, controlled trial in phantoms
Intra-subject elastic registration of 3D ultrasound images
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
Brain shift in neuronavigation of brain tumors: A review
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency
Medical image registration via neural fields
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos
ST-ITEF: Spatio-Temporal Intraoperative Task Estimating Framework to recognize surgical phase and predict instrument path based on multi-object tracking in keratoplasty
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks
Nested hierarchical group-wise registration with a graph-based subgrouping strategy for efficient template construction
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences
Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability
MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics
Anatomical structure-guided joint spatiotemporal graph embedding framework for magnetic resonance fingerprint reconstruction
Confidence-aware multi-modality learning for eye disease screening
Spatially variant noise estimation in MRI: A homomorphic approach
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning
SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data
A three-dimensional virtual environment for modeling mechanical cardiopulmonary interactions
Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles
Fourier Convolution Block with global receptive field for MRI reconstruction
Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references
SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method
On modelling of anisotropic viscoelasticity for soft tissue simulation: Numerical solution and GPU execution
Meta multi-task nuclei segmentation with fewer training samples
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning
Automatic detection of informative frames from wireless capsule endoscopy images
Scale invariant texture descriptors for classifying celiac disease
Machine learning approaches in medical image analysis: From detection to diagnosis
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration
Learning what and where to segment: A new perspective on medical image few-shot segmentation
Alignment of magnetic-resonance brain datasets with the stereotactical coordinate system
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box
Pico Lantern: Surface reconstruction and augmented reality in laparoscopic surgery using a pick-up laser projector
The value of Augmented Reality in surgery - A usability study on laparoscopic liver surgery
Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart - with MATLAB implementation
Non-local statistical label fusion for multi-atlas segmentation
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy
Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins
Segmentation and reconstruction of vascular structures for 3D real-time simulation
Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks
Editorial for Special Issue on Foundation Models for Medical Image Analysis
Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
Combining unsupervised and supervised learning for predicting the final stroke lesion
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography
A new variational shape-from-orientation approach to correcting intensity inhomogeneities in magnetic resonance images
Informed constrained spherical deconvolution (iCSD)
Interactive training system for interventional electrocardiology procedures
End-to-end breast cancer radiotherapy planning via LMMs with consistency embedding
Non-contrast CT esophageal varices grading through clinical prior-enhanced multi-organ analysis
A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions
Deep low-Rank plus sparse network for dynamic MR imaging
Depth potential function for folding pattern representation, registration and analysis
Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection
Continuous diffusion signal, EAP and ODF estimation via Compressive Sensing in diffusion MRI
Non-parametric graphnet-regularized representation of dMRI in space and time
Mutual information in coupled multi-shape model for medical image segmentation
Deformable models in medical image analysis: a survey
A structural enriched functional network: An application to predict brain cognitive performance
SegmentAnyBone: A universal model that segments any bone at any location on MRI
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients
Clinical validation of vessel-based registration for correction of brain-shift
T-snakes: Topology adaptive snakes
The state-of-the-art in ultrasound-guided spine interventions
Adaptive correction of the pseudo-enhancement of CT attenuation for fecal-tagging CT colonography
Automatic detection of microaneurysms in color fundus images
ViFT: Visual field transformer for visual field testing via deep reinforcement learning
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks
I2U-Net: A dual-path U-Net with rich information interaction for medical image segmentation
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging
Automated size-specific dose estimates using deep learning image processing
Physical model-based non-rigid registration incorporating statistical shape information
Automated anatomical labeling of a topologically variant abdominal arterial system via probabilistic hypergraph matching
Automatic online layer separation for vessel enhancement in X-ray angiograms for percutaneous coronary interventions
Semi-local tractography strategies using neighborhood information
Perivascular space identification nnUNet for generalised usage (PINGU)
Outlier detection in cardiac diffusion tensor imaging: Shot rejection or robust fitting?
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative
Multi-modal registration for correlative microscopy using image analogies
Landmark methods for forms without landmarks: morphometrics of group differences in outline shape
Building medical image classifiers with very limited data using segmentation networks
Cerebrovascular network registration via an efficient attributed graph matching technique
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge
Corrigendum to "Constrained non-rigid registration for use in image-guided adaptive radiotherapy" [Medical Image Analysis 13 (2009) 809-817]
MRI to X-ray mammography registration using a volume-preserving affine transformation
Interpretable vertebral fracture quantification via anchor-free landmarks localization
Brain tumor segmentation with Deep Neural Networks
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain
Delineating anatomical boundaries using the boundary fragment model
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology
Computer technology in detection and staging of prostate carcinoma: A review
Subject-specific finite-element modeling of normal aortic valve biomechanics from 3D+t TEE images
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images
CaDIS: Cataract dataset for surgical RGB-image segmentation
Real-time volumetric CBCT reconstruction using surface and X-ray imaging for image-guided radiotherapy
Comparative survey of multigraph integration methods for holistic brain connectivity mapping
Pulmonary nodule detection in CT images with quantized convergence index filter
Transformation diffusion reconstruction of three-dimensional histology volumes from two-dimensional image stacks
Deep metric learning for otitis media classification
CHAP: Channel-spatial hierarchical adversarial perturbation for semi-supervised medical image segmentation
Deep probabilistic tracking of particles in fluorescence microscopy images
A review of segmentation methods in short axis cardiac MR images
The Medical Imaging Interaction Toolkit
Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond
Computer assisted preoperative planning of bone fracture reduction: Simulation techniques and new trends
Polyp detection on video colonoscopy using a hybrid 2D/3D CNN
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
Generating multi-pathological and multi-modal images and labels for brain MRI
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information
Rigid motion invariant statistical shape modeling based on discrete fundamental forms: Data from the osteoarthritis initiative and the Alzheimer's disease neuroimaging initiative
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking
Filtering in tractography using autoencoders (FINTA)
Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes
Comparison of regularization methods for human cardiac diffusion tensor MRI
LinSEM: Linearizing segmentation evaluation metrics for medical images
Large-scale automatic reconstruction of neuronal processes from electron microscopy images
In vivo strain and stress estimation of the heart left and right ventricles from MRI images
The 2D analytic signal for envelope detection and feature extraction on ultrasound images
A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos
Left ventricle segmentation in MRI via convex relaxed distribution matching
Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts
Motion tracking of the outer tips of microtubules
CLIK-Diffusion: Clinical Knowledge-informed Diffusion Model for Tooth Alignment
Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans
Development and comparison of new hybrid motion tracking for bronchoscopic navigation
DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images
Privacy preserving image registration
A multiple-instance learning framework for diabetic retinopathy screening
Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor-valued diffusion MRI
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
A new algebraic method for quantitative proton density mapping using multi-channel coil data
Automatic segmentation of colon glands using object-graphs
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
Intracranial vessel segmentation from time-of-flight MRA using pre-processing of the MIP Z-buffer: accuracy of the ZBS algorithm
A geometric framework for ensemble average propagator reconstruction from diffusion MRI
Sampling image segmentations for uncertainty quantification
A fast, model-independent method for cerebral cortical thickness estimation using MRI
Motion-guided segmentation for cine DENSE MRI
Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization
Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis
Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: Results of an in-vitro evaluation
Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion
Phenotype discovery from population brain imaging
Reinforced physiology-informed learning for image completion from partial-frame dynamic PET imaging
W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data
Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priors
Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components
Semiautomatic carotid lumen segmentation for quantification of lumen geometry in multispectral MRI
Nonlinear multiscale regularisation in MR elastography: Towards fine feature mapping
A machine-learning graph-based approach for 3D segmentation of Bruch's membrane opening from glaucomatous SD-OCT volumes
Keyhole-aware laparoscopic augmented reality
From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
GAMEs: Growing and adaptive meshes for fully automatic shape modeling and analysis
Domain generalization for retinal vessel segmentation via Hessian-based vector field
Filter learning: Application to suppression of bony structures from chest radiographs
Synthesizing individualized aging brains in health and disease with generative models and parallel transport
Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis
Automated integer programming based separation of arteries and veins from thoracic CT images
Hyper-convolutions via implicit kernels for medical image analysis
Score-based diffusion models for accelerated MRI
HistoKernel: Whole slide image level Maximum Mean Discrepancy kernels for pan-cancer predictive modelling
Analyzing attributes of vessel populations
A hybrid camera- and ultrasound-based approach for needle localization and tracking using a 3D motorized curvilinear ultrasound probe
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis
AdaptFRCNet: Semi-supervised adaptation of pre-trained model with frequency and region consistency for medical image segmentation
Multi-modal registration of speckle-tracked freehand 3D ultrasound to CT in the lumbar spine
Transformers in medical imaging: A survey
Inverse finite element characterization of soft tissues
Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis
Designing image segmentation studies: Statistical power, sample size and reference standard quality
A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures
PDM-ENLOR for segmentation of mouse brain gene expression images
Towards inference of human brain connectivity from MR diffusion tensor data
Automatic recognition of the common carotid artery in longitudinal ultrasound B-mode scans
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection
Hierarchical online contrastive anomaly detection for fetal arrhythmia diagnosis in ultrasound
Combined tract segmentation and orientation mapping for bundle-specific tractography
STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
Compact programmable transmit scheme for contrast imaging using nonlinear difference-frequency ultrasound signals
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation
Multi-modal image set registration and atlas formation
Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model
Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach
Automatic segmentation of human brain sulci
Generation of variable anatomical models for surgical training simulators
Cascaded convolutional networks for automatic cephalometric landmark detection
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation
Gaze gesture based human robot interaction for laparoscopic surgery
Skuller: A volumetric shape registration algorithm for modeling skull deformities
Deblurring masked image modeling for ultrasound image analysis
Multi-label pathology editing of chest X-rays with a Controlled Diffusion Model
A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction
Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images