yusuke1997/dblp-id-title huggingface dataset:
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators' importance-correlation degree
Brain tumor classification for MR images using transfer learning and fine-tuning
VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis
FPGA based system for automatic cDNA microarray image processing
Evaluation of Alzheimer's disease by analysis of MR images using multilayer perceptrons and committee machines
Size-invariant descriptors for detecting regions of abnormal growth in cervical vertebrae
Simultaneous evaluation of wall motion and blood perfusion of a beating heart using stereoscopic fluorescence camera system
Penalized weighted least-squares approach for multienergy computed tomography image reconstruction via structure tensor total variation regularization
VLFATRollout: Fully transformer-based classifier for retinal OCT volumes
Usefulness of F-18 FDG-PET in detection of multiple endocrine tumors with duodenal carcinoid
Repeated positioning in accurate radiotherapy based on virtual net technique and contrary reconstruction scheme
Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms
Automatic arm removal in PET and CT images for deformable registration
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization
A Hierarchical Convolutional Neural Network for vesicle fusion event classification
CylinGCN: Cylindrical structures segmentation in 3D biomedical optical imaging by a contour-based graph convolutional network
Image background inhomogeneity correction in MRI via intensity standardization
Efficient deep learning model for mitosis detection using breast histopathology images
Sparsity techniques in medical imaging
Accurate 3D reconstruction of bony surfaces using ultrasonic synthetic aperture techniques for robotic knee arthroplasty
Nonlinear regression of remaining surgery duration from videos via Bayesian LSTM-based deep negative correlation learning
Towards better interpretable and generalizable AD detection using collective artificial intelligence
Mutual information-based multimodal image registration using a novel joint histogram estimation
WRIST: A WRist Image Segmentation Toolkit for carpal bone delineation from MRI
Segmentation of cell nuclei in heterogeneous microscopy images: A reshapable templates approach
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation
Use of semi-synthetic data for catheter segmentation improvement
MedBLIP: A multimodal method of medical question-answering based on fine-tuning large language model
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT
A self-attention model for robust rigid slice-to-volume registration of functional MRI
Medical image computing in diagnosis and intervention of spinal diseases
Gradient vector flow with mean shift for skin lesion segmentation
An optical flow approach to tracking colonoscopy video
Time-efficient sparse analysis of histopathological whole slide images
Holistic polar map for integrated evaluation of cardiac imaging results
Gland context networks: A novel approach for improving prostate cancer identification
Non-rigid image registration with anatomical structure constraint for assessing locoregional therapy of hepatocellular carcinoma
A dual-task dual-domain model for blind MRI reconstruction
SSTU: Swin-Spectral Transformer U-Net for hyperspectral whole slide image reconstruction
AMeta-FD: Adversarial Meta-learning for Few-shot retinal OCT image Despeckling
Evaluation of the quantitative capability of a home-made cone-beam micro computed tomography system
SCCNet: Self-correction boundary preservation with a dynamic class prior filter for high-variability ultrasound image segmentation
Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images
Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies
A novel cost function for nuclei segmentation and classification in imbalanced histopathology data-sets
ConvTNet fusion: A robust transformer-CNN framework for multi-class classification, multimodal feature fusion, and tissue heterogeneity handling
Distance guided generative adversarial network for explainable medical image classifications
Multimodal framework for TACE treatment response prediction in patients with hepatocellular carcinoma
FAUDA-Net: Frequency-aware unsupervised domain adaptation network for multimodal medical image segmentation
Virtual plate pre-bending for the long bone fracture based on axis pre-alignment
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans
A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage
Fusing fine-tuned deep features for skin lesion classification
A semi-supervised multiview-MRI network for the detection of Knee Osteoarthritis
Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry
Detection of abdominopelvic lymph nodes in multi-parametric MRI
Semi-supervised hybrid spine network for segmentation of spine MR images
Modeling of myocardial contractility using parameterized super-quadric SPECT images
Encoder-shared visual state space network for anterior segment reconstruction
Characterizing and differentiating brain states through a CS-KBRs framework for highlighting the synergy of common and specific brain regions
Parameter-free optic disc detection
BreasTDLUSeg: A coarse-to-fine framework for segmentation of breast terminal duct lobular units on histopathological whole-slide images
Multimodal data fusion with irregular PSA kinetics for automated prostate cancer grading
Retinal vessel segmentation using multi-scale textons derived from keypoints
Comparison of fMRI statistical software packages and strategies for analysis of images containing random and stimulus-correlated motion
3D dense local point descriptors for mouse brain gene expression images
CycleSGAN: A cycle-consistent and semantics-preserving generative adversarial network for unpaired MR-to-CT image synthesis
Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays
Automated TIMI frame counting using 3-d modeling
Development of a computer assisted system aimed at RFA liver surgery
Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study
Fast X-ray/CT image registration based on perspective projection triangular features
Features extraction in anterior and posterior cruciate ligaments analysis
Meshfree implementation of individualized active cardiac dynamics
A textural approach for mass false positive reduction in mammography
Patch-based lung ventilation estimation using multi-layer supervoxels
Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features
MRI reconstruction with joint global regularization and transform learning
Fully automatic segmentation of left ventricular anatomy in 3-D LGE-MRI
Hierarchical pathology screening for cervical abnormality
3D registration of MR and X-ray spine images using an articulated model
Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation
Lossless and near-lossless digital angiography coding using a two-stage motion compensation approach
Fourier cross-sectional profile for vessel detection on retinal images
Conditional entropy maximization for PET image reconstruction using adaptive mesh model
Image fusion of Ultrasound Computer Tomography volumes with X-ray mammograms using a biomechanical model based 2D/3D registration
Automated detection of lung nodules in CT images using shape-based genetic algorithm
Automated selection of major arteries and veins for measurement of arteriolar-to-venular diameter ratio on retinal fundus images
A manifold learning method to detect respiratory signal from liver ultrasound images
An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification
An adaptive positivity thresholding method for automated Ki67 hotspot detection (AKHoD) in breast cancer biopsies
A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1
Kinetic modeling of PET-FDG in the brain without blood sampling
Diffusion model for medical image denoising, reconstruction and translation
Distraction-aware hierarchical learning for vascular structure segmentation in intravascular ultrasound images
Medical image denoising using one-dimensional singularity function model
3D-QCNet - A pipeline for automated artifact detection in diffusion MRI images
CMT-FFNet: A CMT-based feature-fusion network for predicting TACE treatment response in hepatocellular carcinoma
Evaluation of uterine cervix segmentations using ground truth from multiple experts
MFFUNet: A hybrid model with cross-attention-guided multi-feature fusion for automated segmentation of organs at risk in cervical cancer brachytherapy
Three-dimensional coupled-object segmentation using symmetry and tissue type information
Space-domain non-iterative approach for SPECT/CT systems considering attenuation and space-variant detector response
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study
Virtual contrast enhancement for CT scans of abdomen and pelvis
On the effect of training database size for MR-based synthetic CT generation in the head
Editorial for the special issue of "Computational methods for molecular imaging" for computerized medical imaging and graphics
Information granules in image histogram analysis
A wavelet thresholding method to reduce ultrasound artifacts
FastDIP: An effective approach for accelerating unsupervised low-count PET image reconstruction
Image-assisted knowledge discovery and decision support in radiation therapy planning
Review of automatic pulmonary lobe segmentation methods from CT
Modeling and visualization techniques for virtual stenting of aneurysms and stenoses
Multi-path decoder U-Net: A weakly trained real-time segmentation network for object detection and localization in ultrasound scans
Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection
Detection of small colon bleeding in wireless capsule endoscopy videos
Segmentation of histology slides of cortical bone using pulse coupled neural networks optimized by particle-swarm optimization
Time efficiency of CT colonography: 2D vs 3D visualization
An arbitrary-modal fusion network for volumetric cranial nerves tract segmentation
Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression
CRAD: Cognitive Aware Feature Refinement with Missing Modalities for Early Alzheimer's Progression Prediction
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets
Anatomy-informed deep learning and radiomics for neurofibroma segmentation in whole-body MRI
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning
The matching method for veins images
GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion
Application of semi-automated ultrasonography on nutritional support for severe acute pancreatitis
RNN-based longitudinal analysis for diagnosis of Alzheimer's disease
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging
Left ventricular myocardium segmentation on arterial phase of multi-detector row computed tomography
A robust and real-time vascular intervention simulation based on Kirchhoff elastic rod
Automated retinal nerve fiber layer defect detection using fundus imaging in glaucoma
Development of laryngeal video stroboscope with laser marking module for dynamic glottis measurement
A statistical modeling approach for evaluating auto-segmentation methods for image-guided radiotherapy
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans
PET/CT-based deep learning model predicts distant metastasis after SBRT for early-stage NSCLC: A multicenter study
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays
Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis
Building a reference multimedia database for interstitial lung diseases
Machine learning approaches to analyze histological images of tissues from radical prostatectomies
CT findings of a unicameral calcaneal bone cyst containing a fluid-fluid level
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN
A minimally invasive multimodality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis
Wavelet-based medical image compression with adaptive prediction
3D surface-based registration of ultrasound and histology in prostate cancer imaging
Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex
Computer Aided Diagnosis of Atopic Dermatitis
Deep learning powers cancer diagnosis in digital pathology
Synchronized 2D/3D optical mapping for interactive exploration and real-time visualization of multi-function neurological images
Domain knowledge augmentation of parallel MR image reconstruction using deep learning
Regularized multi-structural shape modeling of the knee complex based on deep functional maps
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic
Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer
Texture classification of MR images of the brain in ALS using M-CoHOG: A multi-center study
Precision of cortical bone reconstruction based on 3D CT scans
Image registration and subtraction for the visualization of change in diabetic retinopathy screening
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease
An anthropomorphic diagnosis system of pulmonary nodules using weak annotation-based deep learning
Semi-supervised aortic dissections segmentation: A time-dependent weighted feedback fusion framework
SGLSA: Sphygmus gated laser speckle angiography for microcirculation hemodynamics imaging
A study for accommodating the human crystalline lens by finite element simulation
Does image normalization and intensity resolution impact texture classification?
Whole brain segmentation with full volume neural network
Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization
Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients
Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm
Development of an integrated needle insertion system with image guidance and deformation simulation
A computational method for the estimation of atrophic changes in Alzheimer's disease and mild cognitive impairment
Evaluation of a new gridding method for fully 3D direct Fourier PET reconstruction based on a two-plane geometry
WCE polyp detection with triplet based embeddings
PIÑATA: Pinpoint insertion of intravenous needles via augmented reality training assistance
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images
Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis
Guiding automated left ventricular chamber segmentation in cardiac imaging using the concept of conserved myocardial volume
Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
A tree-based multiclassification of breast tumor histopathology images through deep learning
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations
Context-specific selection of algorithms for recursive feature tracking in endoscopic image using a new methodology
Constrained stochastic state estimation of deformable 1D objects: Application to single-view 3D reconstruction of catheters with radio-opaque markers
Multi-scale interaction and locally enhanced bridging network for medical image segmentation
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
Versatile multi-constrained planning for thermal ablation of large liver tumors
Liver lesion segmentation in ultrasound: A benchmark and a baseline network
Physics-informed neural networks for denoising high b-value diffusion-weighted images
Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface
Vessel bifurcation localization based on intraoperative three-dimensional ultrasound and catheter path for image-guided catheter intervention of oral cancers
Application of texture analysis to ventilation SPECT/CT data
An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments
Development and evaluation of an integrated model based on a deep segmentation network and demography-added radiomics algorithm for segmentation and diagnosis of early lung adenocarcinoma
CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration
A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMD
Robust brain MRI image classification with SIBOW-SVM
An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data
Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA
Computer-aided diagnosis of cavernous malformations in brain MR images
Corrigendum to "3D CT-video fusion for image-guided bronchoscopy" [Computerized Medical Imaging and Graphics 32 (2008) 159-173]
Dialectical multispectral classification of diffusion-weighted magnetic resonance images as an alternative to apparent diffusion coefficients maps to perform anatomical analysis
Multi-modal vertebrae recognition using Transformed Deep Convolution Network
Quantification of enhancement of left ventricular myocardium in patients with dilated cardiomyopathy using delayed enhanced MR imaging
Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine
Interactive 3D medical data cutting using closed curve with arbitrary shape
On the performance of lung nodule detection, segmentation and classification
Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences
Opportunistic AI for enhanced cardiovascular disease risk stratification using abdominal CT scans
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing
Deep transfer learning approaches for bleeding detection in endoscopy images
Automatic localization of the optic disc by combining vascular and intensity information
Bayesian statistical reconstruction for low-dose X-ray computed tomography using an adaptive-weighting nonlocal prior
A multiresolution binary level set method and its application to intracranial hematoma segmentation
Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field
Fusion of fMRI and non-imaging data for ADHD classification
QUIZ: An arbitrary volumetric point matching method for medical image registration
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning
Automated classification of multi-spectral MR images using Linear Discriminant Analysis
Pattern classification for breast lesion on FFDM by integration of radiomics and deep features
Bone age assessment of children using a digital hand atlas
In vivo MRI based prostate cancer localization with random forests and auto-context model
On the estimation and correction of bias in local atrophy estimations using example atrophy simulations
A novel population-characteristic weighted sparse model for accurate respiratory motion prediction in CT-guided lung cancer interventions
NACNet: A histology context-aware transformer graph convolution network for predicting treatment response to neoadjuvant chemotherapy in Triple Negative Breast Cancer
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion
HistoStitcher © : An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments
Medical imaging and telemedicine - from medical data production, to processing, storing, and sharing: A short outlook
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning
An accurate and universal approach for short-exposure-time microscopy image enhancement
Dual attention model with reinforcement learning for classification of histology whole-slide images
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy
RPDNet: A reconstruction-regularized parallel decoders network for rectal tumor and rectum co-segmentation
Abdominal parametric perfusion imaging with respiratory motion-compensation based on contrast-enhanced ultrasound: In-vivo validation
Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification
SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer
Local-to-global spatial learning for whole-slide image representation and classification
Quick detection of brain tumors and edemas: A bounding box method using symmetry
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy