yusuke1997/dblp-id-title huggingface dataset:
On the uniqueness of determination of a polyhedron by its edges with applications to the inverse potential problem
A computed tomography signs quantization analysis method for pulmonary nodules malignancy grading
A hybrid convolutional neural network model to detect COVID-19 and pneumonia using chest X-ray images
Low-cost solution to on-line color filter array demosaicking
A systematic review on the effectiveness of thermography in diagnosis of diseases
Multidimensional k-space model for analysis of flow-related phenomena in MR imaging
Detection and diagnosis of brain tumors-framework using extreme machine learning and CANFIS classification algorithms
Microaneurysm Segmentation Method for Diabetic Retinopathy Fundus Lesions Based on the Multi-Scale Feature Subtraction Fusion Network
Adapting Segment Anything Model for 3D Brain Tumor Segmentation With Missing Modalities
A machine learning approach for brain image enhancement and segmentation
Retraction: "Implementation of deep neural networks for classifying electroencephalogram signal using fractional S-transform for epileptic seizure detection"
Convolutional capsule network for COVID-19 detection using radiography images
Preparing whole mounts of biological specimens for imaging macromolecular structures by light and electron microscopy
Ensemble the recent architectures of deep convolutional networks for skin diseases diagnosis
Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion
Intensity-based computer binocular stereo vision: Signal models and algorithms
ECG steganography based on tunable Q-factor wavelet transform and singular value decomposition
Deep-features with Bayesian optimized classifiers for the breast cancer diagnosis
Width-independent fast skeletonization algorithm for binary pictures
Comprehensive Experimentation of Pretrained Models on Slice-Based Classification of Interstitial Lung Disease Patterns
Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform
Two-dimensional directional wavelets in image processing
Efficient feature subset selection and classification using levy flight-based cuckoo search optimization with parallel support vector machine for the breast cancer data
Divide et impera: Acceleration of DTI tractography using multi-GPU parallel processing
BGNet: Boundary-guided network for polyp segmentation
The study of brain networks driven by steady-state visual evoked potentials
Towards Real Time Alzheimer's Diagnosis: A PSO-GA-Driven Deep Learning Solution for Telemedicine
Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing
Guest editorial: Special issue on neuroimaging
Three-dimensional shape reconstruction system based on fiber-optic interference fringe imaging
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model
An Interpretable Lesion-Aware Diagnostic Model for Full-Field Mammography Classification
Real-time detection of multiple moving objects in complex image sequences
Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm
Efficient image compression techniques for compressing multimodal medical images using neural network radial basis function approach
Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification
Feature Reconstruction-Guided Multi-Scale Attention Network for Non-Significant Lung Nodule Detection
SABOS-Net: Self-supervised attention based network for automatic organ segmentation of head and neck CT images
A novel machine learning-based analytical framework for automatic detection of COVID-19 using chest X-ray images
An automated and fast system to identify COVID-19 from X-ray radiograph of the chest using image processing and machine learning
Optimum rigid motion with one perspective view
Optimized lung cancer detection by amended whale optimizer and rough set theory
Comparison of the born iterative method and tarantola's method for an electromagnetic time-domain inverse problem
Speeding up active relevance feedback with approximate k NN retrieval for hyperplane queries
Block-based fine granularity scalable video coding with optimized rate allocation for content-aware streaming
DiffSwinTr: A diffusion model using 3D Swin Transformer for brain tumor segmentation
Novel encoding technology for ultrafast MRI in a limited spatial region
Wavelet-based lossless compression scheme with progressive transmission capability
Efficient video retrieval using index structure
Brightness preserving bi-level fuzzy histogram equalization for MRI brain image contrast enhancement
Single-chip processor for media applications: the MAP1000™
Estimating intravoxel fiber architecture using constrained compressed sensing combined with multitensor adaptive smoothing
Multi-Objectives Optimization ( MOO )-Based NAS Approach
Breaking Barriers in Cancer Diagnosis: Super-Light Compact Convolution Transformer for Colon and Lung Cancer Detection
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman-Shannon transform classifier
Detection and removal of anomalies in digitized animation film
Segmentation method for medical image based on improved GrabCut
Resolution enhancement of nondestructive testing from B-scans
Deep learning and optimization algorithms for automatic breast cancer detection
Occamian approach in the image restoration and other inverse problems
A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio
An end-to-end brain tumor segmentation system using multi-inception-UNET
An automatic evaluation system for contrast-detail phantom images in digital radiography
Single-frame image super-resolution using learned wavelet coefficients
Adaptive vs. non-adaptive strategies for the computation of optical flow
Classification of the Stages of Nonalcoholic Steatohepatitis via Federated General Visual Representation Learning
Frequency domain down-conversion of HDTV using an optimal motion compensation scheme
Variational blind deconvolution of multi-channel images
SOCR-YOLO: Small Objects Detection Algorithm in Medical Images
A Time-Adaptive Diffusion-Based CT Image Denoising Method by Processing Directional and Non-Local Information
Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model
An improved multimodal medical image fusion scheme based on hybrid combination of nonsubsampled contourlet transform and stationary wavelet transform
Cross-cumulative residual entropy-based medical image registration via hybrid differential search algorithm
MediFusionNet : A Novel Architecture for Multimodal Medical Image Analysis
The imaginary component of the reconstructed image in fan beam tomography
Edge-assisted upper band coding techniques
A new automated delineation method for SPECT lung scans using adaptive dual-exponential thresholding
ViTCXRResNet : Harnessing Explainable Artificial Intelligence in Medical Imaging - Chest X-Ray-Based Patients Demographic Prediction
Constrained total least-squares computations for high-resolution image reconstruction with multisensors
C-TUnet: A CNN-Transformer Architecture-Based Ultrasound Breast Image Classification Network
An effective deep learning model for grading abnormalities in retinal fundus images using variational auto-encoders
Estimating rigid-body motion from three-dimensional data without matching point correspondences
Transformer Skip-Fusion Based SwinUNet for Liver Segmentation From CT Images
Breast cancer diagnosis from mammographic images using optimized feature selection and neural network architecture
Watermarking in halftone images with noise balance strategy
Hybrid compression of biomedical ECG and EEG signals based on differential clustering and encoding techniques
Fast and robust symmetry detection for brain images based on parallel scale-invariant feature transform matching and voting
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, Relief, and gradient-weighted class activation mapping based deep hybrid model
Automatic MR-PET registration algorithm
High-performance image computing with modern microprocessors
An edge guided cascaded U-net approach for accelerated magnetic resonance imaging reconstruction
A Novel Multimodal Fusion Method for Depression Detection Using Graph Convolutional Neural Networks
Intramuscular EMG classifier for detecting myopathy and neuropathy
Prony methods in NMR spectroscopy
An adaptive dynamic combined energy minimization model for few-view computed tomography reconstruction
Elemental and chemical imaging of interfaces with the scanning photoemission microscope on ELETTRA
Microwave tomography: From theory to practical imaging systems
A Review of Deep Learning for Respiratory Motion Tracking in 2D and 3D Ultrasound Sequences for Image-Guided Therapy
Long COVID: Ventilation and Perfusion Are Reduced in Symptomatic Individuals Compared to Asymptomatic Patients - A V/Q Scintigraphy Study
Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images
Super-resolution approach to overcome physical limitations of imaging sensors: An overview
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels
Independent vector analysis (IVA) for group fMRI processing of subcortical area
High resolution imaging spectrometer (Hiris): Science and instrument
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi-channel feature extraction and selection
Compressive sensing theory and neighborhood spatial-temporal information for frame rate improvement of dynamic ultrasonic imaging
Inverse scattering of H z waves using local shape-function imaging: A T -matrix formulation
Depth map estimation based on linear regression using image focus
Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine
Using matching distance in size theory: A survey
Seismic inversion: Travel times or amplitudes?
A hybrid framework for brain tissue segmentation in magnetic resonance images
Target image enhancement using representative line in MR cholangiography images
Intuitionistic fuzzy approach for enhancement of low contrast mammogram images
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm
A lightweight deep learning model for retinal optical coherence tomography image classification
Establishment of national diagnostic reference levels as guidelines for computed tomography radiation in Jordan
Range-Doppler imaging
A joint autoencoder and classifier deep neural network for AD and MCI classification
RETRACTION: Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics
Elastography: A systems approach
Medical image fusion based on nuclear norm minimization
Edge and anomaly detection of brain magnetic resonance images in a distributed environment
An empirical study on compressed sensing MRI using fast composite splitting algorithm and combined sparsifying transforms
An efficient reflection invariance region-based image retrieval framework
Image segmentation using multiresolution wavelet analysis and expectation-maximization (EM) algorithm for digital mammography
A deep learning-based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm
Intensity-curvature functional-based digital high-pass filters
Dual independent pathway-densely connected residual network with dilated convolution-based arterial spin labeling MRI image reconstruction with minimum label-control pairs
A Hybrid Swin Transformer and EfficientNetB2-Based Framework for Automated ROP Detection in Premature Infants
ANFIS-EM approach for PET brain image reconstruction
A comprehensive review: Segmentation of MRI images - brain tumor
HMM-based graph edit distance for image indexing
SF Net: A Pyramid-Based Feature Fusion Convolutional Neural Network With Embedded Squeeze-and-Excitation Mechanism for Retinal OCT Image Classification
Brain tumor grade classification using multi-step pre-training
Efficient multiscale spatial attention 3D abdominal multiorgan segmentation model
Digital breast tomosynthesis improves diagnostic accuracy of breast microcalcifications
MaxGlaViT: A Novel Lightweight Vision Transformer-Based Approach for Early Diagnosis of Glaucoma Stages From Fundus Images
IEDC-Net: Internal-External Dual Correction Mechanisms for Semi-Supervised Medical Image Segmentation
Deep learning-based semantic segmentation of interphase cells and debris from metaphase images
Predictive value of computed tomography radiomics combined with traditional imaging features in WHO/ISUP grading of clear cell renal carcinoma
Effect of electrode configuration on recognizing uterine contraction with electrohysterogram: Analysis using a convolutional neural network
Fully Automated Glioblastoma Segmentation and Classification in Multispectral Magnetic Resonance Images Based on Level Set and Deep Neural Network
A novel blind super-resolution technique based on the improved Poisson maximum a posteriori algorithm
3D multiwavelet based block coding algorithm for compression of volumetric medical images
Iterative algorithm for discrete tomography
Distributional stochastic Planner-Actor-Critic for deformable image registration
Oriented distance regularized level set evolution for image segmentation
An efficient convolutional histogram-oriented gradients and deep convolutional learning approach for accurate classification of bone cancer
Cerebral stroke classification based on fusion model of 3D EmbedConvNext and 3D Bi-LSTM network
MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U-shaped network structure
An integrated approach to document decomposition and structural analysis
A fuzzy and spline based dynamic histogram equalization for contrast enhancement of brain images
Analysis of denoising filters on MRI brain images
A Novel Dictionary Learning Algorithm Based on Prior Knowledge for fMRI Data Analysis
An adaptive weight search method based on the Grey wolf optimizer algorithm for skin lesion ensemble classification
Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing
VEntNet: Hybrid deep convolutional neural network model for automated multi-class categorization of chest X-rays
Constant time imaging approaches to NMR microscopy
Moving target detection using super-resolution algorithms with an ultra wideband radar
Forward selection-based ensemble of deep neural networks for melanoma classification in dermoscopy images
A Novel Noise Removal and Interpretable Deep Learning Model for Diabetic Retinopathy Detection
Quantitative trace element imaging using PIXE and the nuclear microprobe
A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy-preserving federated learning
Removal of noise in MRI images using a block difference-based filtering approach
Animation and integration of material growth simulations in a visual programming environment
Generalized image warping using enhanced lookup tables
Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization
A Multispectral Blood Smear Background Images Reconstruction for Malaria Unstained Images Normalization
The residual error of the reflectivity displacement method of SAR motion extraction
Simultaneous total variation image inpainting and blind deconvolution
Application of highlight removal and multivariate image analysis to color measurement of flotation bubble images
A 3D-2D Rigid Liver Registration Method Using Pre-Training and Transfer Learning With Staged Alignment of Anatomical Landmarks
Dual-Low Technology in Coronary and Abdominal CT Angiography: A Comparative Study of Deep Learning Image Reconstruction and Adaptive Statistic Iterative Reconstruction-Veo
Wavelets and their applications
Effects of nicergoline treatment on regional cerebral blood flow in early Alzheimer's disease
Image analysis by fast improved radial harmonic-Fourier moments algorithm
Deep Learning-Based Automated Detection and Grading of Papilledema From OCT Images: A Promising Approach for Improved Clinical Diagnosis and Management
Image segmentation model based on adaptive adjustment of global and local information
Does compression affect image retrieval performance?
Error assisted fast mode decision in the H264 video coding standard
Content-based gastric image retrieval using convolutional neural networks
Genetic adaptive coding optimization applied to fractal image compression
Colour-based segmentation using FCM and K-means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure
COVSeg-NET: A deep convolution neural network for COVID-19 lung CT image segmentation
Macroblock-based progressive fine granularity scalable video coding
A three-dimensional animation system for seismic response of multistory structures
On the problem of gradient calibration in diffusion weighted imaging
Differential and semidifferential invariant signature functions for space curve recognition
Reversal effect of low-intensity ultrasound on adriamycin-resistant human hepatoma cells in vitro and in vivo
Dual-pathway DenseNets with fully lateral connections for multimodal brain tumor segmentation
Scanning tunneling microscopy imaging and selective modification of purple membranes
Deep learning based Glaucoma Network Classification (GNC) using retinal images
Digital halftoning: A model-based perspective
SPECT reconstruction with sub-sinogram acquisitions
Guest editorial: Special issue on human brain imaging
NOSER: An algorithm for solving the inverse conductivity problem
Vagus nerve modulation using focused pulsed ultrasound: Potential applications and preliminary observations in a rat
New brain atlas - Mapping the human brain in vivo with 7.0 T MRI and comparison with postmortem histology: Will these images change modern medicine?
Residual-Based robust estimation and image-motion analysis
SwinRes: A hybrid model that effectively diagnoses COVID-19 through x-ray lung images
Improved data hiding in halftone images with cooperating pair toggling human visual system
A neural network-based nonlinear filter for image enhancement
Modeling an effectual multi-section You Only Look Once for enhancing lung cancer prediction
MEDCnet: A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN
Teeth category classification via seven-layer deep convolutional neural network with max pooling and global average pooling
Chinese signature verification: The topological approach and the waveform matching approach
Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data
Computer aided detection and diagnosis methodology for brain stroke using adaptive neuro fuzzy inference system classifier
Subband decomposition strategies for object-based image coding
Automated texture-based characterization of fibrosis and carcinoma using low-dose lung CT images
Breast cancer diagnosis based on a new improved Elman neural network optimized by meta-heuristics
Performance analysis of state-of-the-art CNN architectures for brain tumour detection
Staged cluster transformers for intracranial aneurysms segmentation from structure fused 3D MRA
A Fast and Robust Segmentation of Magnetic Resonance Brain Images Using a Combination of the Pyramidal Approach and Level Set Method
Embedded wavelet coder with multistage vector quantization
Measurement method for human body anteflexion angle based on image processing
Algebraic wavelet filters
Multi-Scale 3D U-Nets: An approach to automatic segmentation of brain tumor
Multiencoder-based federated intelligent deep learning model for brain tumor segmentation
Supervised Constructive Learning-Based Model for Identifying Colorectal Cancer Tissue Types From Histopathological Images
NCA-based hybrid convolutional neural network model for classification of cervical cancer on gauss-enhanced pap-smear images
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning
Theoretical design of vascular imaging based on hall effect
Segmentation of brain tumor subregions with depthwise separable dense U-NET (DSDU-NET)
Autonomous underwater vehicle guidance by integrating neural networks and geometric reasoning
Noninvasive methods of classification and staging of chronic hepatic diseases
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases
Multicontext 3D residual CNN for false positive reduction of pulmonary nodule detection
Diffuse tomography: Using time-of-flight information in a two-dimensional model
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network
Speckle imaging in astronomy
Categorization of breast masses based on deep belief network parameters optimized using chaotic krill herd optimization algorithm for frequent diagnosis of breast abnormalities
Generalized cross-validation as a stopping rule for the Richardson-Lucy algorithm
Polyp segmentation network based on lightweight model and reverse attention mechanisms
Improving COVID-19 Detection Through Cooperative Deep-Learning Pipeline for Lung Semantic Segmentation in Medical Imaging
Variations in BOLD response latency estimated from event-related fMRI at 3T: Comparisons between gradient-echo and Spin-echo
Tomographic imaging in hydrocarbon reservoirs
A Novel Classification Approach for Retinal Disease Using Improved Gannet Optimization-Based Capsule DenseNet
Robust estimation of 3D trajectories from a monocular image sequence
SQUID tomographic neuromagnetic imaging
Relevant edge probability-based adaptively weighted active contour for medical image segmentation
MRtrix: Diffusion tractography in crossing fiber regions
Development of treatment techniques for radiotherapy optimization
Simple pinhole camera calibration
Experimental exploration on loss surface of deep neural network
Correction to 'ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis'
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement
Neuro-wavelet based intelligent medical image fusion
Constrained image reconstruction for magnetic detection electrical impedance tomography
Resolution improvement using enriched Krylov subspace for microwave tomography breast imaging system
Breast cancer: A hybrid method for feature selection and classification in digital mammography
Iris boundary localization based on Hough transform and the quadratic circle data compensation
Chromatic edge detection: Idealization and reality
On which grids can tomographic equivalence of binary pictures be characterized in terms of elementary switching operations?
Applications of three-dimensional finite-difference seismic modeling in oil field exploitation and simulation
Local image segmentation with geometric filters
ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
Dense and shuffle attention U-Net for automatic skin lesion segmentation
A novel discriminant feature selection-based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction