yusuke1997/dblp-id-title huggingface dataset:
Optimal transport features for morphometric population analysis
Irregularity index: A new border irregularity measure for cutaneous melanocytic lesions
Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound
A flexible patch based approach for combined denoising and contrast enhancement of digital X-ray images
Characterization of the nonlinear elastic properties of soft tissues using the supersonic shear imaging (SSI) technique: Inverse method, ex vivo and in vivo experiments
ARDMR: Adaptive recursive inference and representation disentanglement for multimodal large deformation registration
Monocular pose estimation of articulated open surgery tools - in the wild
Registration of 3D trans-esophageal echocardiography to X-ray fluoroscopy using image-based probe tracking
Information Processing in Medical Imaging 2007
A novel approach to 2D/3D registration of X-ray images using Grangeat's relation
An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy
A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion
Object recognition in medical images via anatomy-guided deep learning
Automated classification of fMRI data employing trial-based imagery tasks
Fully transformer network for skin lesion analysis
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images
LNDb challenge on automatic lung cancer patient management
Self-encoded marker for optical prospective head motion correction in MRI
Four-dimensional processing of deformable cardiac PET data
A polynomial approach for extracting the extrema of a spherical function and its application in diffusion MRI
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module
In vivo mechanical characterization of human liver
A finite-element approach to the direct computation of relative cardiovascular pressure from time-resolved MR velocity data
Accelerating cardiac radial-MRI: Fully polar based technique using compressed sensing and deep learning
Fetal brain tissue annotation and segmentation challenge results
Individualized statistical learning from medical image databases: Application to identification of brain lesions
Statistical image reconstruction methods for randoms-precorrected PET scans
Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12]
4D CT image reconstruction with diffeomorphic motion model
Ultrasound elastography using multiple images
A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms
Inference of ventricular activation properties from non-invasive electrocardiography
Automatic optimal filament segmentation with sub-pixel accuracy using generalized linear models and B-spline level-sets
Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative
M 3 Surv : Fusing Multi-slide and Multi-omics for Memory-augmented robust Survival prediction
Automated tissue segmentation of MR brain images in the presence of white matter lesions
Multiple token rearrangement Transformer network with explicit superpixel constraint for segmentation of echocardiography
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k -space data interpolation
Multi-contrast image super-resolution with deformable attention and neighborhood-based feature aggregation (DANCE): Applications in anatomic and metabolic MRI
Automated classification of lung bronchovascular anatomy in CT using AdaBoost
MPGAN: Multi Pareto Generative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain
Integrating spatial configuration into heatmap regression based CNNs for landmark localization
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder
Repetitive motion compensation for real time intraoperative video processing
Methodology for implementing patient-specific spatial boundary condition during a cardiac cycle from phase-contrast MRI for hemodynamic assessment
Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry
Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs
Oncological image analysis
Gyral net: A new representation of cortical folding organization
Nonrigid registration of dynamic medical imaging data using nD + t B-splines and a groupwise optimization approach
Self-similarity weighted mutual information: A new nonrigid image registration metric
A geometric approach to robust medical image segmentation
Hierarchical performance estimation in the statistical label fusion framework
Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge
Geometrical deployment for braided stent
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning
Robust Rician noise estimation for MR images
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer
Improving airway segmentation in computed tomography using leak detection with convolutional networks
Discriminating dysplasia: Optical tomographic texture analysis of colorectal polyps
Quantifying variability in radiation dose due to respiratory-induced tumor motion
Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI
Implementation of a Cellular Automaton for efficient simulations of atrial arrhythmias
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms
Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images
Luminosity and contrast normalization in retinal images
Space-feature measures on meshes for mapping spatial transcriptomics
DDKG: A Dual Domain Knowledge Guidance strategy for localization and diagnosis of non-displaced femoral neck fractures
Reviewers - an acknowledgement
USLR: An open-source tool for unbiased and smooth longitudinal registration of brain MRI
Tumor radiogenomics in gliomas with Bayesian layered variable selection
Deformable segmentation via sparse representation and dictionary learning
FFPE++: Improving the quality of formalin-fixed paraffin-embedded tissue imaging via contrastive unpaired image-to-image translation
From arteriographies to computational flow in saccular aneurisms: the INRIA experience
Automated 3-D registration of MR and CT images of the head
Automatic initialization and quality control of large-scale cardiac MRI segmentations
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework
Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues
Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification
A robust point-matching algorithm for autoradiograph alignment
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation
Task fMRI data analysis based on supervised stochastic coordinate coding
Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations
Fully-automatic left ventricular segmentation from long-axis cardiac cine MR scans
Quantitative analysis of retinal OCT
Processing and visualization for diffusion tensor MRI
Segmentation of brain 3D MR images using level sets and dense registration
Respiratory motion models: A review
Parameter estimation of perfusion models in dynamic contrast-enhanced imaging: a unified framework for model comparison
3D vessel-like structure segmentation in medical images by an edge-reinforced network
Domain-invariant interpretable fundus image quality assessment
Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification
Delineating white matter structure in diffusion tensor MRI with anisotropy creases
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction
Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials
Learning contrast and content representations for synthesizing magnetic resonance image of arbitrary contrast
Real-time simulation of contact and cutting of heterogeneous soft-tissues
Characterization of frequency-dependent material properties of human liver and its pathologies using an impact hammer
uFLIM - Unsupervised analysis of FLIM-FRET microscopy data
Developing a knowledge-guided federated graph attention learning network with a diffusion module to diagnose Alzheimer's disease
An Image Overlay system for medical data visualization
Transformer based multi-modal MRI fusion for prediction of post-menstrual age and neonatal brain development analysis
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning
Automated extraction and labelling of the arterial tree from whole-body MRA data
Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images
Grid powered nonlinear image registration with locally adaptive regularization
Deep learning for automated skeletal bone age assessment in X-ray images
Hysteroscopy video summarization and browsing by estimating the physician's attention on video segments
Recent advances in diffusion MRI modeling: Angular and radial reconstruction
Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation
POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints
Style mixup enhanced disentanglement learning for unsupervised domain adaptation in medical image segmentation
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images
PadChest: A large chest x-ray image dataset with multi-label annotated reports
Interpretable classification of endomicroscopic brain data via saliency consistent contrastive learning
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
An atlas-based method to compensate for brain shift: Preliminary results
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling
Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery
Cross-center Model Adaptive Tooth segmentation
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Regression forests for efficient anatomy detection and localization in computed tomography scans
MedCLIP-SAMv2: Towards universal text-driven medical image segmentation
A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features
Disease quantification on PET/CT images without explicit object delineation
Directional wavelet based features for colonic polyp classification
Calibrating segmentation networks with margin-based label smoothing
A scalable approach to T2-MRI colon segmentation
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus
Dynamically constructed network with error correction for accurate ventricle volume estimation
Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach
Reconstruction of a 3D surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes
3D reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy X-ray absorptiometry
PAIP 2019: Liver cancer segmentation challenge
Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging
A filtered approach to neural tractography using the Watson directional function
Recurrent inference machines as inverse problem solvers for MR relaxometry
A causality-inspired generalized model for automated pancreatic cancer diagnosis
Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning
Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy control
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs
Region segmentation using information divergence measures
Organ-level instance segmentation enables continuous time-space-spectrum analysis of pre-clinical abdominal photoacoustic tomography images
A 3D personalized cardiac myocyte aggregate orientation model using MRI data-driven low-rank basis functions
Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation
Multi-cancer framework with cancer-aware attention and adversarial mutual-information minimization for whole slide image classification
Dual structure-aware image filterings for semi-supervised medical image segmentation
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers
CARABEAMER: a treatment planner for a robotic radiosurgical system with general kinematics
3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries
Tagged magnetic resonance imaging of the heart: a survey
APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation
Probabilistic vessel axis tracing and its application to vessel segmentation with stream surfaces and minimum cost paths
Local estimation of the noise level in MRI using structural adaptation
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations
Non-rigid registration of multi-modal images using both mutual information and cross-correlation
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection
Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images
A Novel Framework for Segmentation of Secretory Granules in Electron Micrographs
A scale-space curvature matching algorithm for the reconstruction of complex proximal humeral fractures
Model-driven brain shift compensation
Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach
Seeing the invisible in differential interference contrast microscopy images
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets
K-UNN: k-space interpolation with untrained neural network
Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements
Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients
An EM algorithm for shape classification based on level sets
MR to ultrasound registration for image-guided prostate interventions
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease
Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation
Encoding atlases by randomized classification forests for efficient multi-atlas label propagation
A survey of label-noise deep learning for medical image analysis
DIAS: A dataset and benchmark for intracranial artery segmentation in DSA sequences
Self-supervised learning for medical image data with anatomy-oriented imaging planes
Classification of lung cancer subtypes on CT images with synthetic pathological priors
Validation of 4D Flow based relative pressure maps in aortic flows
A cortical shape-adaptive approach to local gyrification index
Multi-hypothesis tracking of the tongue surface in ultrasound video recordings of normal and impaired speech
Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA
Measuring orthopedic implant wear on standard radiographs with a precision in the 10 μm-range
A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation
Finite element analysis for normal pressure hydrocephalus: The effects of the integration of sulci
Automated segmentation of the left ventricle in cardiac MRI
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners
Connecting macroscopic diffusion metrics of cardiac diffusion tensor imaging and microscopic myocardial structures based on simulation
Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors
Local rotation invariance in 3D CNNs
FairREAD: Re-fusing demographic attributes after disentanglement for fair medical image classification
Learning to segment images with classification labels
SimIntestine: A synthetic dataset from virtual capsule endoscope
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images
Towards evaluating the robustness of deep diagnostic models by adversarial attack
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT
Constrained manifold learning for the characterization of pathological deviations from normality
Addendum to "Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data" [Medical Image Analysis 13 (2009) 19-35]
A tree-matching algorithm: Application to airways in CT images of subjects with the acute respiratory distress syndrome
A survey on active learning and human-in-the-loop deep learning for medical image analysis
Robust whole-brain segmentation: Application to traumatic brain injury
Intensity non-uniformity correction in MRI: Existing methods and their validation
MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification
Blood vessel modeling for interactive simulation of interventional neuroradiology procedures
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features
HSFSurv: A hybrid supervision framework at individual and feature levels for multimodal cancer survival analysis
Multi-atlas segmentation of biomedical images: A survey
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474
The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016)
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy
Denoising of 3D magnetic resonance images by using higher-order singular value decomposition
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach
Comparing registration methods for mapping brain change using tensor-based morphometry
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images
Pulmonary nodule detection in CT scans with equivariant CNNs
An accurate, fast and robust method to generate patient-specific cubic Hermite meshes
Automatic labeling of Parkinson's Disease gait videos with weak supervision
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment
PASB: Pathology-aware Schrödinger bridge for virtual immunohistochemical staining
On characterizing population commonalities and subject variations in brain networks
CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation
A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum
Clever Hans effect found in a widely used brain tumour MRI dataset
From colour to tissue histology: Physics-based interpretation of images of pigmented skin lesions
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata
Knowledge-based interpolation of curves: Application to femoropopliteal arterial centerline restoration
Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion
Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts
Supervised graph hashing for histopathology image retrieval and classification
Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis
PRSCS-Net: Progressive 3D/2D rigid Registration network with the guidance of Single-view Cycle Synthesis
Learning and combining image neighborhoods using random forests for neonatal brain disease classification
SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects