yusuke1997/dblp-id-title huggingface dataset:
Parcellation-Free prediction of task fMRI activations from dMRI tractography
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation
Fast surface and volume estimation from non-parallel cross-sections, for freehand three-dimensional ultrasound
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images
Fast numerical algorithms for fitting multiresolution hybrid shape models to brain MRI
Characterization of U-shape streamline fibers: Methods and applications
Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications
A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography
Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network
Deformable regions of interest with multiple points for tissue tracking in echocardiography
Neural multi-atlas label fusion: Application to cardiac MR images
Development and preliminary evaluation of VISLAN, a surgical planning and guidance system using intra-operative video imaging
Analysis of dynamic MR breast images using a model of contrast enhancement
DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation
Holistic multitask regression network for multiapplication shape regression segmentation
Vessel enhancing diffusion: A scale space representation of vessel structures
White matter fiber tract segmentation in DT-MRI using geometric flows
Special Issue on MICCAI 2017
Segmentation of lumen and outer wall of abdominal aortic aneurysms from 3D black-blood MRI with a registration based geodesic active contour model
The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities
Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
Estimation of the partial volume effect in MRI
Application-driven validation of posteriors in inverse problems
Prototyping optimization-based image reconstructions from limited-angular-range data in dual-energy CT
Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks
Intrasubject multimodal groupwise registration with the conditional template entropy
Deep learning models for triaging hospital head MRI examinations
Echocardiogram enhancement using supervised manifold denoising
Registration of 3D fetal neurosonography and MRI
Segmentation of the hippocampus by transferring algorithmic knowledge for large cohort processing
Triple attention learning for classification of 14 thoracic diseases using chest radiography
End-to-end multimodal image registration via reinforcement learning
Anonymizing medical case-based explanations through disentanglement
A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data
Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
A unified framework for multimodal structure-function mapping based on eigenmodes
Learning to segment anatomy and lesions from disparately labeled sources in brain MRI
MedLSAM: Localize and segment anything model for 3D CT images
DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization
Probabilistic learning of the Purkinje network from the electrocardiogram
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data
Kernel Fisher discriminant for shape-based classification in epilepsy
MASCG: Multi-Atlas Segmentation Constrained Graph method for accurate segmentation of hip CT images
Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging
Color treatment in endoscopic image classification using multi-scale local color vector patterns
Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process
Recovery of 3D rib motion from dynamic chest radiography and CT data using local contrast normalization and articular motion model
Simulation of hyperelastic materials in real-time using deep learning
Robust Bayesian fusion of continuous segmentation maps
A survey of catheter tracking concepts and methodologies
Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net
Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data
Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT
SPASM: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data
Instance importance-Aware graph convolutional network for 3D medical diagnosis
Scaling up self-supervised learning for improved surgical foundation models
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching
Discriminative error prediction network for semi-supervised colon gland segmentation
DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation
Nested resolution mesh-graph CNN for automated extraction of liver surface anatomical landmarks
DeepDistance : A multi-task deep regression model for cell detection in inverted microscopy images
Medical federated learning with joint graph purification for noisy label learning
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images
Mutual consistency learning for semi-supervised medical image segmentation
In vivo finite element model-based image analysis of pacemaker lead mechanics
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
Medical image segmentation automatic quality control: A multi-dimensional approach
Optimization of 360° projection fluorescence molecular tomography
A unified non-rigid feature registration method for brain mapping
Joint modeling histology and molecular markers for cancer classification
ABCnet: Adversarial bias correction network for infant brain MR images
Beyond the eye: A relational model for early dementia detection using retinal OCTA images
Phase-aware echocardiogram stabilization using keyframes
The application of a new sampling theorem for non-bandlimited signals on the sphere: Improving the recovery of crossing fibers for low b-value acquisitions
Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information
Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging
Precision Imaging: more descriptive, predictive and integrative imaging
Quantification of left ventricular strain and torsion by joint analysis of 3D tagging and cine MR images
Blurred streamlines: A novel representation to reduce redundancy in tractography
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis
Endoscopic image analysis in semantic space
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation
Task-based performance analysis of FBP, SART and ML for digital breast tomosynthesis using signal CNR and Channelised Hotelling Observers
Unsupervised anomaly detection in medical imaging using aggregated normative diffusion
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study
Spatio-temporal free-form registration of cardiac MR image sequences
An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
Boundary-aware context neural network for medical image segmentation
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification
Anatomically and metabolically informed diffusion for unified denoising and segmentation in low-count PET imaging
Detect and correct bias in multi-site neuroimaging datasets
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging
Automated interpretation of congenital heart disease from multi-view echocardiograms
Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects
Methods for modeling and predicting mechanical deformations of the breast under external perturbations
New methods for the geometrical analysis of tubular organs
Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks
Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning
Deep learning solution for medical image localization and orientation detection
Removing tetrahedra from manifold tetrahedralisation: application to real-time surgical simulation
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Multilevel structure-preserved GAN for domain adaptation in intravascular ultrasound analysis
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks
Inter-subject comparison of MRI knee cartilage thickness
Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353]
Mass preserving image registration for lung CT
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
Deep generation of personalized connectomes based on individual attributes
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing
Live laparoscopic video retrieval with compressed uncertainty
Multi-resolution multi-object statistical shape models based on the locality assumption
A spline-based non-linear diffeomorphism for multimodal prostate registration
A survey of intracranial aneurysm detection and segmentation
Image matching as a diffusion process: an analogy with Maxwell's demons
Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI
NIFA: Low-dose CT imaging via noise intensity field aware networks
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification
Interactive segmentation of abdominal aortic aneurysms in CTA images
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network
Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
Learning non-linear patch embeddings with neural networks for label fusion
BrachyPlan: A fine-grained efficient dose-guided inverse planning strategy for low-dose-rate brachytherapy
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping
A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians
A generic fundus image enhancement network boosted by frequency self-supervised representation learning
Automatic quality control of brain 3D FLAIR MRIs for a clinical data warehouse
Segmenting hippocampal subfields from 3T MRI with multi-modality images
Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting
Evaluating reinforcement learning agents for anatomical landmark detection
Fusing speed and phase information for vascular segmentation of phase contrast MR angiograms
Maxillofacial bone movements-aware dual graph convolution approach for postoperative facial appearance prediction
Dive into the details of self-supervised learning for medical image analysis
Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation
Structured patch model for a unified automatic and interactive segmentation framework
Unleashing the potential of open-set noisy samples against label noise for medical image classification
Statistical shape models for 3D medical image segmentation: A review
Highly accelerated MRI via implicit neural representation guided posterior sampling of diffusion models
Unsupervised multimodal surface registration with geometric deep learning
Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis
Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS)
A classifying registration technique for the estimation of enhancement curves of DCE-CT scan sequences
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA
Patient specific tumor growth prediction using multimodal images
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Bayesian characterization of uncertainty in intra-subject non-rigid registration
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification
Federated optimisation of kinetic analysis problems
Classification of hemodynamics from dynamic-susceptibility-contrast magnetic resonance (DSC-MR) brain images using noiseless independent factor analysis
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Volumetric memory network for interactive medical image segmentation
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis
Creases as local features of deformation grids
JOSA: Joint surface-based registration and atlas construction of brain geometry and function
Prediction of the 3D shape of the L1 vertebral body from adjacent vertebrae
Ultrasound guidance in minimally invasive robotic procedures
Migration and interaction tracking for quantitative analysis of phagocyte-pathogen confrontation assays
A Multi-instance Learning Network with Prototype-instance Adversarial Contrastive for Cervix Pathology Grading
Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC
Asymmetric fiber trajectory distribution estimation using streamline differential equation
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly
Automatic ultrasound-MRI registration for neurosurgery using the 2D and 3D LC 2 Metric
Discriminative confidence estimation for probabilistic multi-atlas label fusion
Landmark constrained genus-one surface Teichmüller map applied to surface registration in medical imaging
New methods for MRI denoising based on sparseness and self-similarity
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification
A generative probability model of joint label fusion for multi-atlas based brain segmentation
Gray-scale and geometric registration of full-field digital and film-screen mammograms
Multi-modality cardiac image computing: A survey
Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence
Towards contrast-agnostic soft segmentation of the spinal cord
A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomography
Rigid point feature registration using mutual information
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping
Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography
SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer
Boundary and medial shape analysis of the hippocampus in schizophrenia
Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images
Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition
Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge
Ultra-short echo-time magnetic resonance imaging lung segmentation with under-Annotations and domain shift
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis
Acquisition-independent deep learning for quantitative MRI parameter estimation using neural controlled differential equations
TIME-Net: Transformer-Integrated Multi-Encoder Network for limited-angle artifact removal in dual-energy CBCT
COVID-AL: The diagnosis of COVID-19 with deep active learning
Reconstruction and web distribution of measurable arterial models
Self-supervised learning of neighborhood embedding for longitudinal MRI
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement
Intelligent surgical planning for automatic reconstruction of orbital blowout fracture using a prior adversarial generative network
Modeling dynamic radial contrast enhanced MRI with linear time invariant systems for motion correction in quantitative assessment of kidney function
Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics
A review of automatic mass detection and segmentation in mammographic images
AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge
Chest wall segmentation in automated 3D breast ultrasound scans
Residual cyclegan for robust domain transformation of histopathological tissue slides
Measurement and characterization of soft tissue behavior with surface deformation and force response under large deformations
Intervertebral disc segmentation in MR images using anisotropic oriented flux
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke
Deep vessel segmentation by learning graphical connectivity
Automatic segmentation of MR images of the developing newborn brain
LMS-Net: A learned Mumford-Shah network for binary few-shot medical image segmentation
Independent component analysis using prior information for signal detection in a functional imaging system of the retina
Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity
Disentangling representations of retinal images with generative models
Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography
MIST: Multi-instance selective transformer for histopathological subtype prediction
Affine adaptive filtering of CT data
SAF-IS: A spatial annotation free framework for instance segmentation of surgical tools
Explaining the black-box smoothly - A counterfactual approach
A holistic approach for classifying dental conditions from textual reports and panoramic radiographs
Multi-shell diffusion signal recovery from sparse measurements
Erratum to: "Analyzing the neocortical fine-structure" [Medical Image Analysis 7 (2003) 251-264]
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network
Quantitative characterization of the human retinotopic map based on quasiconformal mapping
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks
Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection
Loss odyssey in medical image segmentation
The effects of physical constraints in laparoscopic surgery
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes
Evaluating medical AI systems in dermatology under uncertain ground truth