yusuke1997/dblp-id-title huggingface dataset:
CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
One-shot cell segmentation via learning memory query: Towards universal solution without active tuning
Pop out many small structures from a very large microscopic image
Adversarial learning for mono- or multi-modal registration
Efficient multi-modal dense field non-rigid registration: alignment of histological and section images
Semi-automatic construction of reference standards for evaluation of image registration
A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities
SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction
CNN-based lung CT registration with multiple anatomical constraints
Automatic initialization of an active shape model of the prostate
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images
Contour Area Filtering of two-dimensional electrophoresis images
Vectorization of optically sectioned brain microvasculature: Learning aids completion of vascular graphs by connecting gaps and deleting open-ended segments
Multi-atlas learner fusion: An efficient segmentation approach for large-scale data
Anatomical medial surfaces with efficient resolution of branches singularities
Accurate assessment of patellar tracking using fiducial and intensity-based fluoroscopic techniques
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system
Multi-slice low-rank tensor decomposition based multi-atlas segmentation: Application to automatic pathological liver CT segmentation
Dual discriminative local coding for tissue aging analysis
AGFS-tractometry: A novel atlas-guided fine-scale tractometry approach for enhanced along-tract group statistical comparison using diffusion MRI tractography
Multi-grained contrastive representation learning for label-efficient lesion segmentation and onset time classification of acute ischemic stroke
Segmentation of tongue muscles from super-resolution magnetic resonance images
Automatic brain labeling via multi-atlas guided fully convolutional networks
Revisiting medical image retrieval via knowledge consolidation
Coupling of fluid and elastic models for biomechanical simulations of brain deformations using FEM
TW-GAN: Topology and width aware GAN for retinal artery/vein classification
Multi-scale graph-based grading for Alzheimer's disease prediction
On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series
Radiology report generation with a learned knowledge base and multi-modal alignment
PathFL: Multi-alignment Federated Learning for pathology image segmentation
Towards a teleoperated needle driver robot with haptic feedback for RFA of breast tumors under continuous MRI
Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation
QCResUNet: Joint subject-level and voxel-level segmentation quality prediction
Dual-channel cascade pose estimation network trained on infrared thermal image and groundtruth annotation for real-time gait measurement
Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography
On the convergence of EM-like algorithms for image segmentation using Markov random fields
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis
XQ-SR: Joint x - q space super-resolution with application to infant diffusion MRI
DermX: An end-to-end framework for explainable automated dermatological diagnosis
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
Corrigendum to Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks [Medical Image Analysis 48 (2018) 162-176/2018.06.004]
A deep learning approach for pose estimation from volumetric OCT data
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization
A framework for the merging of pre-existing and correspondenceless 3D statistical shape models
Computer Aided Orthopaedic Surgery: Incremental shift or paradigm change?
Fetal body organ T2* relaxometry at low field strength (FOREST)
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters
Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering
Dense feature deformation morphometry: Incorporating DTI data into conventional MRI morphometry
Anticipation for surgical workflow through instrument interaction and recognized Signals
Finding parametric representations of the cortical sulci using an active contour model
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation
Neighborhood resolved fiber orientation distributions (NRFOD) in automatic labeling of white matter fiber pathways
Beyond role-based surgical domain modeling: Generalizable re-identification in the operating room
Merging nucleus datasets by correlation-based cross-training
Automatic prediction of depth of invasion in oral tongue squamous cell carcinoma using a multimodal regression network fusing prior text and anatomical knowledge
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks
An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision
Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration
Dynamic graph based weakly supervised deep hashing for whole slide image classification and retrieval
Learning to count biological structures with raters' uncertainty
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images
Shaping the future through innovations: From medical imaging to precision medicine
Systematic misregistration and the statistical analysis of surface data
Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering
Segmentation-enhanced multi-scale deep hashing for chest X-ray image retrieval
Case study: an evaluation of user-assisted hierarchical watershed segmentation
Generative modeling of living cells with SO(3)-equivariant implicit neural representations
Modelling liver tissue properties using a non-linear visco-elastic model for surgery simulation
Assimilating intraoperative data with brain shift modeling using the adjoint equations
Improving lesion volume measurements on digital mammograms
A Survey of Methods for 3D Histology Reconstruction
Structured layer surface segmentation for retina OCT using fully convolutional regression networks
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation
WarpPINN: Cine-MR image registration with physics-informed neural networks
Erratum to: "Validation of dynamic heart models obtained using non-linear registration for virtual reality training, planning, and guidance of minimally invasive cardiac surgeries" [Medical Image Analysis 8 (2004) 387-401]
Algorithmic tools for real-time microsurgery simulation
Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials
Prior Anatomical Knowledge-guided GAN for ICL surgery postoperative prediction based on AS-OCT image
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set
Extracting skeletal muscle fiber fields from noisy diffusion tensor data
Compressed sensing MRI exploiting complementary dual decomposition
Test-time generative augmentation for medical image segmentation
Autoencoder based self-supervised test-time adaptation for medical image analysis
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound
RadFormer: Transformers with global-local attention for interpretable and accurate Gallbladder Cancer detection
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
ResGANet: Residual group attention network for medical image classification and segmentation
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer
Longitudinal modeling of appearance and shape and its potential for clinical use
Robust endoscopic image mosaicking via fusion of multimodal estimation
MED-NCA: Bio-inspired medical image segmentation
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Predicting brain structural network using functional connectivity
Quantification of the detailed cardiac left ventricular trabecular morphogenesis in the mouse embryo
Coupled parametric model for estimation of visual field tests based on OCT macular thickness maps, and vice versa, in glaucoma care
Disentangle domain features for cross-modality cardiac image segmentation
Spectrum intervention based invariant causal representation learning for single-domain generalizable medical image segmentation
Automatic detection of pleural effusion in chest radiographs
Patherea: Cell detection and classification for the 2020s
Unsupervised PET logan parametric image estimation using conditional deep image prior
Area-preserving flattening maps of 3D ultrasound carotid arteries images
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
Surface deformation tracking in monocular laparoscopic video
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation
Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI
Image reconstruction with low-rankness and self-consistency of k -space data in parallel MRI
VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review
Structural uncertainty estimation for medical image segmentation
Deformable mapping using biomechanical models to relate corresponding lesions in digital breast tomosynthesis and automated breast ultrasound images
Pairwise learning for medical image segmentation
Brachytherapy optimal planning with application to intravascular radiation therapy
Generating realistic single-cell images from CellProfiler representations
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration
Clavicle segmentation in chest radiographs
Knowledge matters: Chest radiology report generation with general and specific knowledge
OCTA-500: A retinal dataset for optical coherence tomography angiography study
Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty
Automatic multimodal 2D/3D breast image registration using biomechanical FEM models and intensity-based optimization
A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiography
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme
Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs)
Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data
Laser-scan endoscope system for intraoperative geometry acquisition and surgical robot safety management
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
Anchor-guided online meta adaptation for fast one-Shot instrument segmentation from robotic surgical videos
Detecting glaucomatous wedge shaped defects in polarimetric images
Plaque development, vessel curvature, and wall shear stress in coronary arteries assessed by X-ray angiography and intravascular ultrasound
VS: A surface-based system for topological analysis, quantization and visualization of voxel data
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16, 705 healthy MRIs across lifespan
Clinically evaluated procedure for the reconstruction of vocal fold vibrations from endoscopic digital high-speed videos
Robust and fast stochastic 4D flow vector-field signature technique for quantifying composite flow dynamics from 4D flow MRI: Application to left atrial flow in atrial fibrillation
UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images
Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators
Semantic similarity metrics for image registration
Automated detection of intracranial aneurysms based on parent vessel 3D analysis
Extraction of the 3D local orientation of myocytes in human cardiac tissue using X-ray phase-contrast micro-tomography and multi-scale analysis
Ultrasound deep beamforming using a multiconstrained hybrid generative adversarial network
Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases
Illuminating the unseen: Advancing MRI domain generalization through causality
Toward automated detection of microbleeds with anatomical scale localization using deep learning
TED: Two-stage expert-guided interpretable diagnosis framework for microvascular invasion in hepatocellular carcinoma
Morphological appearance manifolds for group-wise morphometric analysis
Segmentation and measurement of brain structures in MRI including confidence bounds
Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images
Probabilistic white matter fiber tracking using particle filtering and von Mises-Fisher sampling
3D Gabor wavelets for evaluating SPM normalization algorithm
Measurement of the bone endocortical region using clinical CT
Vessel-targeted compensation of deformable motion in interventional cone-beam CT
Complete valvular heart apparatus model from 4D cardiac CT
Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography
Automatic inference of articulated spine models in CT images using high-order Markov Random Fields
Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix
Learning from certain regions of interest in medical images via probabilistic positive-unlabeled networks
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis
Learning homeomorphic image registration via conformal-invariant hyperelastic regularisation
Activation detection in diffuse optical imaging by means of the general linear model
Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis
Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting
Interaction in the segmentation of medical images: A survey
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks
Inter-subject registration-based one-shot segmentation with alternating union network for cardiac MRI images
Mind the gap: Quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search
Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models
Guest editorial: Image analysis in dermatology
Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development
Dynamic feature splicing for few-shot rare disease diagnosis
Learning disentangled representations in the imaging domain
A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network
A nonlinear identification method to study effective connectivity in functional MRI
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image
Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data
Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images
Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework
STCMT-Net: A spatiotemporal consistency motion transfer network for enhancing cardiac motion estimation
Bone labelling on micro-magnetic resonance images
Optimized prostate biopsy via a statistical atlas of cancer spatial distribution
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection
Unpaired volumetric harmonization of brain MRI with conditional latent diffusion
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Deep reinforcement learning in medical imaging: A literature review
Groupwise surface correspondence by optimization: Representation and regularization
Integrating uncertainty in deep neural networks for MRI based stroke analysis
Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss
Deep unfolding network with spatial alignment for multi-modal MRI reconstruction
Context aware spatio-temporal cell tracking in densely packed multilayer tissues
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition
Metric hashing forests
AVDNet: Joint coronary artery and vein segmentation with topological consistency
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images
Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model
Automatic detection of rare pathologies in fundus photographs using few-shot learning
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images
Medical Image Analysis - Special Issue FIMH 2023
Segmentation with area constraints
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography
SurgiTrack: Fine-grained multi-class multi-tool tracking in surgical videos
Immune subtyping of melanoma whole slide images using multiple instance learning
Patient specific finite element model of the face soft tissues for computer-assisted maxillofacial surgery
A systematic comparison of deep learning methods for Gleason grading and scoring
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images
PCA-based groupwise image registration for quantitative MRI
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability
Nested star-shaped objects segmentation using diameter annotations
A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat
Know your orientation: A viewpoint-aware framework for polyp segmentation
Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data
A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis
CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging
Dynamic programming in parallel boundary detection with application to ultrasound intima-media segmentation
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
A unified EM approach to bladder wall segmentation with coupled level-set constraints
Automatic segmentation approach to extracting neonatal cerebral ventricles from 3D ultrasound images
SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation
Computational anatomy for multi-organ analysis in medical imaging: A review
A survey on deep learning for skin lesion segmentation
An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder
Image registration via level-set motion: Applications to atlas-based segmentation
Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks
Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling