yusuke1997/dblp-id-title huggingface dataset:
Enhancing source-free domain adaptation in Medical Image Segmentation via regulated model self-training
Multiple hypothesis template tracking of small 3D vessel structures
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model
The semiotics of medical image Segmentation
An information theoretic approach for non-rigid image registration using voxel class probabilities
Schwarz meets Schwann: Design and fabrication of biomorphic and durataxic tissue engineering scaffolds
Continuous representations of brain connectivity using spatial point processes
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery
The estimation of patient-specific cardiac diastolic functions from clinical measurements
Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images
Unpaired mesh-to-image translation for 3D fluorescent microscopy images of neurons
Scalable histopathological image analysis via supervised hashing with multiple features
Learning to segment fetal brain tissue from noisy annotations
Focused shape models for hip joint segmentation in 3D magnetic resonance images
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
Statistical testing and power analysis for brain-wide association study
PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation
Active learning for medical image segmentation with stochastic batches
Signal domain adaptation network for limited-view optoacoustic tomography
IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI
Application of independent component analysis to dynamic contrast-enhanced imaging for assessment of cerebral blood perfusion
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge
Weakly supervised segmentation of retinal layers on OCT images with AMD using uncertainty prototype and boundary regression
Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion
Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography
2D echocardiography video to 3D heart shape reconstruction for clinical application
Selective synthetic augmentation with HistoGAN for improved histopathology image classification
Attentive neural cell instance segmentation
COLLATOR: Consistent spatial-temporal longitudinal atlas construction via implicit neural representation
A three-dimensional finite element model of human atrial anatomy: New methods for cubic Hermite meshes with extraordinary vertices
Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures
A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy
Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies
Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer
An endoscopic 3D scanner based on structured light
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation
MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction
Discriminative dictionary learning for abdominal multi-organ segmentation
A direct approach to estimating surfaces in tomographic data
The effects of noise over the complete space of diffusion tensor shape
On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysis
Semi-automatic segmentation and detection of aorta dissection wall in MDCT angiography
Editorial for the MEDIA special issue on MICCAI 2012
Machine learning and radiology
YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation
Adaptive smoothing of retinotopic maps based on Teichmüller parametrization
Two-level semi-supervised collaborative medical image segmentation with bidirectional knowledge exchange
Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake model
Localizing target structures in ultrasound video - A phantom study
Physics-informed neural networks for myocardial perfusion MRI quantification
ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
A statistically based flow for image segmentation
Multi-organ localization with cascaded global-to-local regression and shape prior
DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
MR-based respiratory and cardiac motion correction for PET imaging
Major depressive disorder identification by referenced multiset canonical correlation analysis with clinical scores
Optimal slice timing correction and its interaction with fMRI parameters and artifacts
Recursive variational autoencoders for 3D blood vessel generative modeling
Non-invasive pressure difference estimation from PC-MRI using the work-energy equation
Erratum to "Automated landmarking and labeling of fully and partially scanned spinal columns in CT images" [Med. Image Anal. 17(2013) 1151-1163]
Pressure eye: In-bed contact pressure estimation via contact-less imaging
Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy
Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials
Statistical models of sets of curves and surfaces based on currents
DefCor-Net: Physics-aware ultrasound deformation correction
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification
A novel chromosome cluster types identification method using ResNeXt WSL model
Towards bridging the distribution gap: Instance to Prototype Earth Mover's Distance for distribution alignment
Hyper-connectivity of functional networks for brain disease diagnosis
The Liver Tumor Segmentation Benchmark (LiTS)
Comparison of non-parametric T 2 relaxometry methods for myelin water quantification
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
Corrigendum to "LESS: Label-efficient multi-scale learning for cytological whole slide image screening" [Medical Image Analysis 94 (2024): 103109]
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Correspondence between fMRI and SNP data by group sparse canonical correlation analysis
Bridging the gap in connectomic studies: A particle filtering framework for estimating structural connectivity at network scale
Statistical shape analysis using 3D Poisson equation - A quantitatively validated approach
Dictionary-based fiber orientation estimation with improved spatial consistency
Probabilistic 4D blood flow tracking and uncertainty estimation
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants
SET: Superpixel Embedded Transformer for skin lesion segmentation
Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models
Robotic ultrasound imaging: State-of-the-art and future perspectives
Template-based semantic-guided orthodontic teeth alignment previewer
A 3D interactive multi-object segmentation tool using local robust statistics driven active contours
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting
The effect of motion correction interpolation on quantitative T 1 mapping with MRI
Special issue: Functional imaging and modelling of the heart
Advances in medical image analysis with vision Transformers: A comprehensive review
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis
Constrained unsupervised anomaly segmentation
Medical image registration with partial data
Atlas-based whole-body segmentation of mice from low-contrast Micro-CT data
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis
Spatio-temporal directional filtering for improved inversion of MR elastography images
Corrigendum to Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis [Medical Image Analysis 70 (2021) 1-12/102003]
A doppler-exclusive computational diagnostic framework to enhance conventional 2-D clinical ultrasound with 3-D mitral valve dynamics and cardiac hemodynamics
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room
Rethinking adversarial domain adaptation: Orthogonal decomposition for unsupervised domain adaptation in medical image segmentation
Continual learning strategies for cancer-independent detection of lymph node metastases
Improving cross-domain generalizability of medical image segmentation using uncertainty and shape-aware continual test-time domain adaptation
Real-time image-based rigid registration of three-dimensional ultrasound
A fast and robust patient specific Finite Element mesh registration technique: Application to 60 clinical cases
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation
A Bayesian network for simultaneous keyframe and landmark detection in ultrasonic cine
Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI
Hierarchical segmentation using equivalence test (HiSET): Application to DCE image sequences
X-ray and magnetic resonance imaging fusion for cardiac resynchronization therapy
A methodology to study the morphologic changes in lesions during in vitro angioplasty using MRI and image processing
Splines for diffeomorphisms
Correction of probe pressure artifacts in freehand 3D ultrasound
Image filtering via generalized scale
Brain functional connectivity analysis based on multi-graph fusion
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views
Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction
CLANet: A comprehensive framework for cross-batch cell line identification using brightfield images
Bayesian logistic shape model inference: Application to cochlear image segmentation
A generic framework for the parcellation of the cortical surface into gyri using geodesic Voronoı̈ diagrams
Slice-level diffusion encoding for motion and distortion correction
DMP-Net: Deep semantic prior compressed spectral reconstruction method towards intraoperative imaging of brain tissue
Modeling and hexahedral meshing of cerebral arterial networks from centerlines
Computing personalized brain functional networks from fMRI using self-supervised deep learning
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
Full cardiac cycle asynchronous temporal compounding of 3D echocardiography images
What matters in reinforcement learning for tractography
The decomposition of deformation: New metrics to enhance shape analysis in medical imaging
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge
Cross-view discrepancy-dependency network for volumetric medical image segmentation
Evaluating intensity normalization on MRIs of human brain with multiple sclerosis
Personalized assessment of craniosynostosis via statistical shape modeling
View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data
Lagrangian frame diffeomorphic image registration: Morphometric comparison of human and chimpanzee cortex
Automated preoperative planning of femoral stem in total hip arthroplasty from 3D CT data: Atlas-based approach and comparative study
A high-throughput active contour scheme for segmentation of histopathological imagery
Weighted regularized statistical shape space projection for breast 3D model reconstruction
Characterization of task-free and task-performance brain states via functional connectome patterns
A deformable digital brain atlas system according to Talairach and Tournoux
DIOR-ViT: Differential ordinal learning Vision Transformer for cancer classification in pathology images
The deformable most-likely-point paradigm
Gaussian Processes for real-time 3D motion and uncertainty estimation during MR-guided radiotherapy
Computational analysis of the myocardial structure: Adaptation of cardiac myofiber orientations through deformation
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach
Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data
Towards model-based analysis of cardiac MR tagging data: Relation between left ventricular shear strain and myofiber orientation
Self-consistent recursive diffusion bridge for medical image translation
The impact of registration accuracy on imaging validation study design: A novel statistical power calculation
Multivariate brain network graph identification in functional MRI
Automated segmentation of macular edema in OCT using deep neural networks
Multi-level and joint attention networks on brain functional connectivity for cross-cognitive prediction
Model-guided respiratory organ motion prediction of the liver from 2D ultrasound
Image registration: Maximum likelihood, minimum entropy and deep learning
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions
Accurate automated Cobb angles estimation using multi-view extrapolation net
Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality
Prior-aware autoencoders for lung pathology segmentation
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans
Weakly supervised joint whole-slide segmentation and classification in prostate cancer
A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images
Fast automatic myocardial segmentation in 4D cine CMR datasets
Real-time echocardiography image analysis and quantification of cardiac indices
3D multi-scale vessel enhancement filtering based on curvature measurements: application to time-of-flight MRA
Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation
An aggregation of aggregation methods in computational pathology
Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity
Evaluation of image features and search strategies for segmentation of bone structures in radiographs using Active Shape Models
Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform
Performance evaluation of a medical robotic 3D-ultrasound imaging system
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes
SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI
Reconstructing cerebrovascular networks under local physiological constraints by integer programming
Discriminative ensemble learning for few-shot chest x-ray diagnosis
Using Perturbation theory to reduce noise in diffusion tensor fields
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images
Validation of a new surgical procedure for percutaneous scaphoid fixation using intra-operative ultrasound
Diffusion MRI signal reconstruction with continuity constraint and optimal regularization
GIST: an interactive, GPU-based level set segmentation tool for 3D medical images
Context specific descriptors for tracking deforming tissue
SoftSeg: Advantages of soft versus binary training for image segmentation
Characterization of myocardial motion patterns by unsupervised multiple kernel learning
Rethinking boundary detection in deep learning-based medical image segmentation
Multiple q-shell diffusion propagator imaging
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks
Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology
Applications of deep learning in fundus images: A review
Deep ensemble learning of sparse regression models for brain disease diagnosis
MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations
MRI denoising using Non-Local Means
Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties
A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci
Uncertainty estimates in pharmacokinetic modelling of DCE-MRI
A symbolic environment for visualizing activated foci in functional neuroimaging datasets
Nonlinear dimensionality reduction combining MR imaging with non-imaging information
Reconstruction of coronary arteries from X-ray angiography: A review
Identifying Cross-individual Correspondences of 3-hinge Gyri
Towards pointwise motion tracking in echocardiographic image sequences - Comparing the reliability of different features for speckle tracking
Medical Image Analysis - past, present, and future
Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]
Cross-dimensional transfer learning in medical image segmentation with deep learning
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation
Weakly supervised histopathology image segmentation with self-attention
Deep learning for computational cytology: A survey
Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration
A maximum likelihood approach to diffeomorphic speckle tracking for 3D strain estimation in echocardiography
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis
TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images
Novel-view X-ray projection synthesis through geometry-integrated deep learning
Patient-attentive sequential strategy for perimetry-based visual field acquisition
Task sub-type states decoding via group deep bidirectional recurrent neural network
Mechanical properties of the human uterine cervix: An in vivo study
Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance
Non-Euclidean classification of medically imaged objects via s-reps
Modeling the 3D coronary tree for labeling purposes
Elastic registration of prostate MR images based on estimation of deformation states
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis
Image quality assessment for machine learning tasks using meta-reinforcement learning
Hubless keypoint-based 3D deformable groupwise registration
Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence
D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection
Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer
Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms
Multi-site, Multi-domain Airway Tree Modeling
Efficient few-shot medical image segmentation via self-supervised variational autoencoder
Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding
Joint solution for PET image segmentation, denoising, and partial volume correction
Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data
Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization
CLIP-Guided Generative network for pathology nuclei image augmentation
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Tracking and mapping in medical computer vision: A review
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks
Longitudinal segmentation of age-related white matter hyperintensities
Frequency-dependent attenuation reconstruction with an acoustic reflector
Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis
Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization
Ultrasonic and elasticity imaging to model disease-induced changes in soft-tissue structure
Statistical modeling and recognition of surgical workflow
Discovering hierarchical common brain networks via multimodal deep belief network
Switch-UMamba: Dynamic scanning vision Mamba UNet for medical image segmentation
Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis
Physics-aware learning and domain-specific loss design in ophthalmology
FOD-Net: A deep learning method for fiber orientation distribution angular super resolution
An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias