yusuke1997/dblp-id-title huggingface dataset:
A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database
DVAP-Reg: Dual-view anatomical prior-driven cross-dimensional registration for spinal surgery navigation
Mapping techniques for aligning sulci across multiple brains
A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
Dynamical multi-order responses and global semantic-infused adversarial learning: A robust airway segmentation method
3D/2D Registration with superabundant vessel reconstruction for cardiac resynchronization therapy
Regional heart motion abnormality detection: An information theoretic approach
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
Track-to-Learn: A general framework for tractography with deep reinforcement learning
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks
Re-identification from histopathology images
Reflections on ultrasound image analysis
Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model
A comprehensive study of stent visualization enhancement in X-ray images by image processing means
Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models
Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization
Weakly supervised mitosis detection in breast histopathology images using concentric loss
The AGES-Reykjavik study atlases: Non-linear multi-spectral template and atlases for studies of the ageing brain
Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation
A benchmark for comparison of dental radiography analysis algorithms
Estimating medical image registration error and confidence: A taxonomy and scoping review
The segmentation of colorectal MRI images
A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision
ROP lesion segmentation via sequence coding and block balancing
How big is this neoplasia? Live colonoscopic size measurement using the Infocus-Breakpoint
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net)
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors
Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps
DARC: Deep adaptive regularized clustering for histopathological image classification
Active learning using adaptable task-based prioritisation
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study
PneumoLLM: Harnessing the power of large language model for pneumoconiosis diagnosis
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts
Ensemble and low-frequency mixing with diffusion models for accelerated MRI reconstruction
Estimation of the 3D self-similarity parameter of trabecular bone from its 2D projection
Conflict management in the fusion of complementary segmentations of deformed kidneys and nephroblastoma
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery
Cell classification with worse-case boosting for intelligent cervical cancer screening
Medical image analysis: Foreword
Label refinement network from synthetic error augmentation for medical image segmentation
OCELOT 2023: Cell detection from cell-tissue interaction challenge
A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI
Image computing for fibre-bundle endomicroscopy: A review
Deep learning-based solvability of underdetermined inverse problems in medical imaging
Metabolic-associated fatty liver voxel-based quantification on CT images using a contrast adapted automatic tool
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding
DDoCT: Morphology preserved dual-domain joint optimization for fast sparse-view low-dose CT imaging
Registration of freehand 3D ultrasound and magnetic resonance liver images
Surgical data science - from concepts toward clinical translation
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI
Definition of a four-dimensional continuous planispheric transformation for the tracking and the analysis of left-ventricle motion
Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step
Automatic construction of eigenshape models by direct optimization
Learning continuous shape priors from sparse data with neural implicit functions
Driven by textual knowledge: A Text-View Enhanced Knowledge Transfer Network for lung infection region segmentation
Full left ventricle quantification via deep multitask relationships learning
Registration of dynamic multiview 2D ultrasound and late gadolinium enhanced images of the heart: Application to hypertrophic cardiomyopathy characterization
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment
Perlin noise generation of physiologically realistic cardiac fibrosis
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways
Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters
Segmentation of medical images using mean value guided contour
Constructing hierarchical attentive functional brain networks for early AD diagnosis
Anomaly segmentation in retinal images with poisson-blending data augmentation
Uncertainty-driven hybrid-view adaptive learning for fully automated uterine leiomyosarcoma diagnosis
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Inferring brain variability from diffeomorphic deformations of currents: An integrative approach
A review on deep-learning algorithms for fetal ultrasound-image analysis
Image-guided interventions and computer-integrated therapy: Quo vadis?
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
Automatic multi-plaque tracking and segmentation in ultrasonic videos
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images
Multi-scale region selection network in deep features for full-field mammogram classification
Semi-supervised WCE image classification with adaptive aggregated attention
Automatic segmentation of the wire frame of stent grafts from CT data
UC-NfNet: Deep learning-enabled assessment of ulcerative colitis from colonoscopy images
Brain networks and intelligence: A graph neural network based approach to resting state fMRI data
Pixel-responsive optimization beamforming method for ultrasound transcranial imaging
Leveraging unsupervised image registration for discovery of landmark shape descriptor
Automated drusen segmentation and quantification in SD-OCT images
A framework for falsifiable explanations of machine learning models with an application in computational pathology
Spine-GAN: Semantic segmentation of multiple spinal structures
Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism
Direct cortical mapping via solving partial differential equations on implicit surfaces
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks
Piecewise affine registration of biological images for volume reconstruction
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography
SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery
A computationally efficient method for reconstructing sequences of MR images from undersampled k-space data
Enhanced neuroimaging genetics using multi-view non-negative matrix factorization with sparsity and prior knowledge
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge
Improving the performance of medical image segmentation with instructive feature learning
Estimation of individual axon bundle properties by a Multi-Resolution Discrete-Search method
A survey on medical image analysis in diabetic retinopathy
Temporal sparse free-form deformations
Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification
AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images
Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints
Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT
Involuntary eye motion correction in retinal optical coherence tomography: Hardware or software solution?
Towards intelligent robust detection of anatomical structures in incomplete volumetric data
Surface-based multi-template automated hippocampal segmentation: Application to temporal lobe epilepsy
Speckle2Self: Self-supervised ultrasound speckle reduction without clean data
Bi-variational physics-informed operator network for fractional flow reserve curve assessment from coronary angiography
Diverse data augmentation for learning image segmentation with cross-modality annotations
EndoChat: Grounded multimodal large language model for endoscopic surgery
Towards annotation-efficient segmentation via image-to-image translation
Domain agnostic 2D-3D deformable registration Application to fluoroscopic guidance without contrast agent
When evidence modeling meets knowledge distillation: Towards reliable contrast-enhanced knowledge distillation for non-contrast medical image segmentation
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation
In-vivo segmentation and quantification of coronary lesions by optical coherence tomography images for a lesion type definition and stenosis grading
Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains
MEDIA special issue on MICCAI 2014
Learning normalized inputs for iterative estimation in medical image segmentation
Deep neural network models for computational histopathology: A survey
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography
Segmentation of carpal bones from CT images using skeletally coupled deformable models
Deep learning based label-free virtual staining and classification of human tissues using digital slide scanner
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification
Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning
Globally optimal co-segmentation of three-dimensional pulmonary 1 H and hyperpolarized 3 He MRI with spatial consistence prior
A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation
Loosely coupled level sets for simultaneous 3D retinal layer segmentation in optical coherence tomography
A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography
A biplanar fluoroscopic approach for the measurement, modeling, and simulation of needle and soft-tissue interaction
Disentangled representation learning in cardiac image analysis
A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods
Real-time pose estimation of devices from x-ray images: Application to x-ray/echo registration for cardiac interventions
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue
Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos
AgGAN: Anatomy-guided generative adversarial network to synthesize arterial spin labeling images for cerebral blood flow measurement under simulated microgravity
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI
A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution
An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative
ModeTv2: GPU-accelerated motion decomposition transformer for pairwise optimization in medical image registration
Automatic multi-view pose estimation in focused cardiac ultrasound
Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features
Completing spatial transcriptomics data for gene expression prediction benchmarking
Improved myelin water fraction mapping with deep neural networks using synthetically generated 3D data
Special issue on MICCAI 2018
A flocking based method for brain tractography
TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer
LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint
Gradient-based enhancement of tubular structures in medical images
HAGMN-UQ: Hyper association graph matching network with uncertainty quantification for coronary artery semantic labeling
Which images to label for few-shot medical image analysis?
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Tuning and comparing spatial normalization methods
A comparison of freehand three-dimensional ultrasound reconstruction techniques
Model extraction from magnetic resonance volume data using the deformable pyramid
An augmented reality system for liver thermal ablation: Design and evaluation on clinical cases
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Machine learning for medical images analysis
Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure
A viscous fluid model for multimodal non-rigid image registration using mutual information
Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration
Exploring Complexity-Calibrated morphological distribution for whole slide image classification and difficulty-grading
Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
Rigid-body point-based registration: The distribution of the target registration error when the fiducial registration errors are given
Mitigating medical dataset bias by learning adaptive agreement from a biased council
CIA-net: Cross-modality interaction and aggregation network for ovarian tumor segmentation from multi-modal MRI
Geometrical regularization of displacement fields for histological image registration
Efficient and robust model-to-image alignment using 3D scale-invariant features
Retrospective evaluation of a topology preserving non-rigid registration method
Generative adversarial network in medical imaging: A review
Biophysics-based statistical learning: Application to heart and brain interactions
A non-local approach for image super-resolution using intermodality priors
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
Robust deep learning-based semantic organ segmentation in hyperspectral images
Focused Attention in Transformers for interpretable classification of retinal images
Exudate detection in color retinal images for mass screening of diabetic retinopathy
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge
Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework
Differential MRI analysis for quantification of low grade glioma growth
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia
A transferable in-silico augmented ischemic model for virtual myocardial perfusion imaging and myocardial infarction detection
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images
Correction of susceptibility artifacts in diffusion tensor data using non-linear registration
5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI
Robust estimation of carotid artery wall motion using the elasticity-based state-space approach
Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization
Guiding multimodal registration with learned optimization updates
Influence of ultrasound speckle tracking strategies for motion and strain estimation
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference
Learnable prototype-guided multiple instance learning for detecting tertiary lymphoid structures in multi-cancer whole-slide pathological images
Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework
Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention
Shaving diffusion tensor images in discriminant analysis: A study into schizophrenia
Quantitative analysis of multi-spectral fundus images
A dynamic elastic model for segmentation and tracking of the heart in MR image sequences
Corrigendum to "Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge" [Medical Image Analysis, 54 (2019) 111-121]
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge
Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening
DT-MRI denoising and neuronal fiber tracking
Expectation maximisation pseudo labels
A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification
DCCAT: Dual-Coordinate Cross-Attention Transformer for thrombus segmentation on coronary OCT
Selective image similarity measure for bronchoscope tracking based on image registration
Non-rigid registration by geometry-constrained diffusion
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Group-wise consistent cortical parcellation based on connectional profiles
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound
DermSynth3D: Synthesis of in-the-wild annotated dermatology images
Cardiac motion estimation by joint alignment of tagged MRI sequences
Time efficiency analysis for undersampled quantitative MRI acquisitions
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections
Respiratory motion correction for image-guided cardiac interventions using 3-D echocardiography
Cross-modality image synthesis from TOF-MRA to CTA using diffusion-based models
Trainable COSFIRE filters for vessel delineation with application to retinal images
Joint hub identification for brain networks by multivariate graph inference
E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification
Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI
Rethinking data imbalance in class incremental surgical instrument segmentation
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data
End-to-End diagnosis of breast biopsy images with transformers
An improved deep network for tissue microstructure estimation with uncertainty quantification
Test-time adaptable neural networks for robust medical image segmentation
Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator
Dense image registration through MRFs and efficient linear programming
Articulated clinician detection using 3D pictorial structures on RGB-D data
Hierarchical adaptive local affine registration for fast and robust respiratory motion estimation
Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models
Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778
BIASNet: A bidirectional feature alignment and semantics-guided network for weakly-supervised medical image registration
Improving the radiographic image analysis of the classic metaphyseal lesion via conditional diffusion models
MRI noise estimation and denoising using non-local PCA
Tunable image quality control of 3-D ultrasound using switchable CycleGAN
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review
MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration
Contour tracking in echocardiographic sequences via sparse representation and dictionary learning
Medical image classification using synergic deep learning
The mechanical response of human liver and its relation to histology: An in vivo study
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images
Deformation equivariant cross-modality image synthesis with paired non-aligned training data
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations