yusuke1997/dblp-id-title huggingface dataset:
Optimization and Application Analysis of Phase Correction Method Based on Improved Image Registration in Ultrasonic Image Detection
Thyroid nodules classification and diagnosis in ultrasound images using fine-tuning deep convolutional neural network
Past and future directions in x-ray computed tomography (CT)
Ant Colony Optimization-Based Deep Ensemble Learning Model for Improved Gastrointestinal Disease Detection
High-Resolution Visualization of the Human Semicircular Canals Using Optical Coherence Tomography
Automatic gait recognition based on probabilistic approach
LiteVessel: In-Depth Exploration of Lightweight Deep Neural Network Models for Retinal Vessel Segmentation
Skin lesion classification based on the VGG-16 fusion residual structure
Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework
Dynamic imaging by model estimation
Three-dimensional FDTD modeling of neurons to solve EEG and MEG forward problem
Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features
Unsupervised estimation of speckle noise in radar images
Success and failure of certain reconstruction and uniqueness algorithms in discrete tomography
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering
Ensemble of Deep CNN Models for Human Skin Disease Classification
Lightweight Local-Global Fusion for Robust Multiclass Classification of Skin Lesions
Skin cancer classification using improved transfer learning model-based random forest classifier and golden search optimization
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet
Computer recognition of Jia Gu Wen characters
Multistage multimodal medical image fusion model using feature-adaptive pulse coupled neural network
A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images
Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine-learning techniques
Polarimetric synthetic aperture radar imaging
Automatic measurement of fetal abdomen subcutaneous soft tissue thickness from ultrasound image based on a U-shaped attention network with morphological method
Identification of rheumatoid arthritis using bone image features with radial basis function neural networks
Individualized real-time prediction of working memory performance by classifying electroencephalography signals
Quantitative evaluation of B 1 insensitivity in nonadiabatic frequency-selective fat-suppression RF pulse techniques
JILDYA-Net: An Efficient Lightweight Multi-Class Classification Architecture for Skin Lesions
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning
A methodology for analyzing curvature in the developing brain from preterm to adult
Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach
Glioma tumor detection in brain MRI image using ANFIS-based normalized graph cut approach
A novel iterative optimizing quantization technique and its application to X-ray tomographic microscopy for three-dimensional reconstruction from a limited number of views
Spaceborne imaging radars
Innovative MRI Denoising Using Federated and Transfer Learning
An optimal diagnosis system for melanoma dermoscopy images based on enhanced design of horse herd optimizer
Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states
A novel method for detection of voxels for decision making: An fMRI study
Reduction Accelerated Adaptive Step-Size FISTA Based Smooth-Lasso Regularization for Fluorescence Molecular Tomography Reconstruction
The impact of genetic variation in comt and bdnf on resting-state functional connectivity
EEG/MEG source imaging in the absence of subject's brain MRI scan: Perspective on co-registration and MRI selection approach
Respiratory Differencing: Enhancing Pulmonary Thermal Ablation Evaluation Through Pre- and Intraoperative Image Fusion
A deep conventional neural network model for glioma tumor segmentation
Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi-Center Setting
An automated methodology for the classification of focal and nonfocal EEG signals using a hybrid classification approach
Mask RCNN algorithm for nuclei detection on breast cancer histopathological images
A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images
ELK-BiONet: Efficient Large-Kernel Convolution Enhanced Recurrent Bidirectional Connection Encoding and Decoding Structure for Skin Lesions Segmentation
Decoding of multichannel EEG activity from the visual cortex in response to pseudorandom binary sequences of visual stimuli
Thermal imaging method to evaluate childhood obesity based on machine learning techniques
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images
Arterial spin labeling at ultra-high field: All that glitters is not gold
Lie group method: A new approach to image matching with arbitrary orientations
Iterative algorithm for optimal fiducials under weak perspective projection
Image and video compression: A survey
A Novel Perceptual Constrained cycleGAN With Attention Mechanisms for Unsupervised MR-to-CT Synthesis
Nonparametric variational learning of multivariate beta mixture models in medical applications
A novel DeepML framework for multi-classification of breast cancer based on transfer learning
Neuroimage-based clinical prediction using machine learning tools
Model-based methods for generating equiluminant texture targets in imaging systems
The use of super-resolution techniques to reduce slice thickness in functional MRI
CATNet: A Cross Attention and Texture-Aware Network for Polyp Segmentation
Squeeze and multi-context attention for polyp segmentation
An improvement in the moment-preserving thresholding method
A modified POCS-based reconstruction method for compressively sampled MR imaging
EM-ML PET reconstruction on multiple processors with reduced communications
E-CNNet: Time-reassigned Multisynchrosqueezing transform-based deep learning framework for MI-BCI task classification
Topology preserving parallel thinning algorithms
A hybrid convolutional and transformer network for segmentation of coronary computed tomography angiographic slices
Bayesian image reconstruction using image-modeling Gibbs priors
Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel segmentation process
Digital holographic scanning of large objects using a rotating optical slab
Reduced model of discrete-time dynamic image segmentation system and its bifurcation analysis
Few views image reconstruction using alternating direction method via ℓ0-norm minimization
New fMRI analysis method for multiple stimuli using reference estimation
Sampling 3-D seismic data
Nonlinear diffraction tomography: The use of inverse scattering for imaging
Application of independent component analysis with mixture density model to localize brain alpha activity in fMRI and EEG
An Enhanced Double-Unet Segmentation Framework for the Early Detection of Diabetic Retinopathy
Computer aided brain tumor detection system using watershed segmentation techniques
Guest editorial: Three-dimensional imaging
Apparent diffusion coefficient dependent fMRI: Spatiotemporal characteristics and implications on calibrated fMRI
Video compression by bit-plane watermarking
Face alignment using view-based direct appearance models
Electroencephalography based imagined alphabets classification using spatial and time-domain features
Wavelet-based adaptive vector quantization for still-image coding
Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering
Unsupervised Domain Adaptation for Simultaneous Segmentation and Classification of the Retinal Arteries and Veins
Fusion of noisy images based on joint distribution model in dual-tree complex wavelet domain
Transform-domain penalized-likelihood filtering of tomographic data
MMCAF: A Survival Status Prediction Method Based on Cross-Attention Fusion of Multimodal Colorectal Cancer Data
A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans
Reconstruction algorithm for novel ultrafast magnetic resonance imaging
Two-pass search strategy using accumulated band energy histogram for HMM-based identification of perceptually identical music
Efficient Melanoma Detection Using Pixel Intensity-Based Masking and Intensity-Weighted Binary Cross-Entropy
Motion segmentation and activity representation in crowds
Indexing audiovisual databases through joint audio and video processing
Switching between the SA-DCT and the EI-DCT in arbitrarily shaped image coding
An efficient deep learning algorithm for the segmentation of cardiac ventricles
Visual language and software development environment for image processing
Shadow removal from image of stained glass windows
Transfer learning networks with skip connections for classification of brain tumors
Generalized quantization as an effective image coding method
Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification
Adaptive image denoising for speckle noise images based on fuzzy logic
Use of covariance matrix images for electroencephalography signal classification for multiclass motor imagery-based brain computer interface
High-speed computation of spline functions and applications
Integrating Cross-Scale Attention With Atrous Spatial Pyramid Pooling for Accurate Optic Disc and Cup Segmentation
Development of an Optical Breast Cancer Diagnosis System Using Laser Speckle and Machine Learning-Assisted Fusion of Texture Maps
Aspect graphs: An introduction and survey of recent results
A k -space sharing 3D GRASE pseudocontinuous ASL method for whole-brain resting-state functional connectivity
Intelligent detection of left ventricular hypertrophy from pediatric echocardiography videos
Three level automatic segmentation of optic disc using LAB color space contours and morphological operation
Brain tumor severity analysis using modified multi-texton histogram and hybrid kernel SVM
A magnetic resonance image reconstruction method using support of first-second order variation
Automated diagnosis system for age-related macular degeneration using hybrid features set from fundus images
Brightness preserving optimized weighted bi-histogram equalization algorithm and its application to MR brain image segmentation
Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening
Using dendronal signatures for feature extraction and retrieval
Multi-classification of brain tumor by using deep convolutional neural network model in magnetic resonance imaging images
An Efficient DWT and Intuitionistic Fuzzy Based Multimodality Medical Image Fusion
Computerized evaluation of image reconstruction algorithms
CBAM Attention Gate-Based Lightweight Deep Neural Network Model for Improved Retinal Vessel Segmentation
Data acquisition and postprocessing strategies for fast quantitative sodium imaging
Stereo image displaying based on both physiological and psychological stereoscopy from single image
Tomographic reconstruction technique for pulsed-echo imaging
Interactive CNN and Transformer-Based Cross-Attention Fusion Network for Medical Image Classification
Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification
Application of Non-Immersive Virtual Reality in Cerebral Palsy Children: A Systematic Review
Phase and phase-difference ionospheric radio tomography
Resolution trade-off analysis for aperture size and signaling bandwidth of diffraction tomography based on spatial-frequency spectral coverage
Long-term learning in content-based image retrieval
Focused ultrasound modulates the level of cortical neurotransmitters: Potential as a new functional brain mapping technique
Advances and challenges in super-resolution
Modified Transformer-Based Pixel Segmentation for Breast Tumor Detection
Denoising smooth-detail representation of MRI-SPECT fusion
Detection systems for scanning laser tomoholographic acoustic microscopy
Accelerating cardiac diffusion tensor imaging using Swin transformer with octave convolution
An effective human monkeypox classification using vision transformer
Quantitative NMR spectroscopy by matrix pencil methods
Brain tumor segmentation and multiview multiscale-based radiomic model for patient's overall survival prediction
Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine
Knowledge-Based configuration of image segmentation processes
Attempted movement classification of spinal cord injured patients using hybrid CNN-LSTM networks
Segmentation and Classification of Breast Masses From the Whole Mammography Images Using Transfer Learning and BI-RADS Characteristics
Distance measures for medical image retrieval
Nonsubsampled contourlet transform with cross-guided bilateral filter for despeckling of medical ultrasound images
Convolutional Neural Network-Based CT Image Segmentation of Kidney Tumours
High-quality retinal vessel segmentation using generative adversarial network with a large receptive field
Ultrasonic spectrum analysis for tissue assays and therapy evaluation
Markov-based methodology for the restoration of underwater acoustic images
Lightweight Skin Lesion Segmentation Network With Multi-Scale Feature Fusion Interaction
High-performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature learning convolutional networks
A variational level set segmentation formulation based on signal model for images in the presence of intensity inhomogeneity
Residual UNet with Dual Attention - An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI segmentation
Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study
An encoder-decoder and modified U-Net network for microwave imaging of stroke
Computer aided diagnosis of brain abnormalities using texture analysis of MRI images
CFIFusion: Dual-Branch Complementary Feature Injection Network for Medical Image Fusion
Multiclassifier for severity-level categorization of glioma tumors using multimodal magnetic resonance imaging brain images
The influence of the activation function in a capsule network for brain tumor type classification
Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquired in vivo
Interactive Pulmonary Lobe Segmentation in CT Images Based on Oriented Derivative of Stick Filter and Surface Fitting Model
Optimized Hybrid CNN Framework for Enhanced Tumor Classification in Breast Cancer Diagnosis
MFH-Net: A Hybrid CNN-Transformer Network Based Multi-Scale Fusion for Medical Image Segmentation
Karyotyping of human chromosomes in metaphase images using faster R-CNN and inception models
Enhanced grasshopper optimization-based selection of ultrasound and elastography features for breast lesion classification
Disintegration of images moving at high velocities
Using image pyramids for the visualization of large terrain data sets
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET
Contrast limited fuzzy adaptive histogram equalization for enhancement of brain images
Dual-Region Consistency Learning With Contrastive Refinement for Semi-Supervised Medical Image Segmentation
Robust nuclei segmentation with encoder-decoder network from the histopathological images
Automatic diagnosis of pneumonia using backward elimination method based SVM and its hardware implementation
University Rankings Are Hurting Academia in Developing Countries: An Urgent Call to Action
An actively decoupled dual transceiver coil system for continuous ASL at 7 T
Image magnification using families of fast orthogonal transforms
Ionospheric tomography algorithms
VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells
The use of wiener deconvolution (an optimal filter) in nuclear magnetic resonance imaging
A snake-based approach to automated segmentation of tongue image using polar edge detector
Brain tumour classification using siamese neural network and neighbourhood analysis in embedded feature space
Deep learning for COVID-19 contamination analysis and prediction using ECG images on Raspberry Pi 4
Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine
Decoding the nonstationary neural activity in motor cortex for brain machine interfaces
Advancing skin cancer diagnosis with a multi-branch ShuffleNet architecture
GRASP-Net: Grouped Residual Convolution U-Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images
A Lightweight Multimodal Xception Network for Glioma Grading Using MRI Images
Fusing dual-tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization
Spatio-temporal context based recurrent visual attention model for lymph node detection
Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images
On-road vehicle detection and tracking based on road context and the ambient lighting adaptive framework
Microwave antenna imaging, diagnostics, and phaseless reconstructions
Retinal vessel segmentation based on an improved deep forest
Image Segmentation Evaluation With the Dice Index: Methodological Issues
Microaneurysm Detection With Multiscale Attention and Trident RPN
Pediatric brain extraction from T2-weighted MR images using 3D dual frame U-net and human connectome database
Infusing Weighted Average Ensemble Diversity for Advanced Breast Cancer Detection
Helical cone-beam tomography
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images
Identification and extraction of brain tumor from MRI using local statistics of Zernike moments
Position-dependent defocus processing for acoustic holography images
Automated Lumbar Disc Intensity Classification From MRI Scans Using Region-Based CNNs and Transformer Models
A Lightweight Statistical Multi-Feature Adaptive Attention Network for Dermoscopic Image Segmentation
Simple algorithms for sonar imaging and bathymetry with a linear swept-frequency (chirp) source
Performance analysis of neural networks for classification of medical images with wavelets as a feature extractor
Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp
Sparse-view statistical iterative head CT image reconstruction via joint regularization
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning
Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology
Design and analysis of a super compact UWB antenna for accurate detection of breast tumors using monostatic radar-based microwave imaging technique
Fake iris detection based on 3D structure of iris pattern
Image reconstruction for a partially immersed imperfectly conducting cylinder by genetic algorithm
Low-Dose Computed Tomography Image Denoising Vision Transformer Model Optimization Using Space State Method
Quantitative susceptibility mapping in a diabetes mellitus rat model: Iron accumulation in the brain
Defining a new feature set for content-based image analysis using histogram refinement
The effect of short cardio on inhibitory control ability of obese people
Medical image fusion using Transfer Learning and L-BFGS optimization algorithm
Automated performance evaluation of document image analysis systems: Issues and practice
Dynamic surface imaging for the space shuttle experiments
Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification
An efficient and high quality medical CT image enhancement algorithm
Relation Explore Convolutional Block Attention Module for Skin Lesion Classification
An efficient lymphocytic leukemia detection based on EfficientNets and ensemble voting classifier
Alzheimer disease classification using KPCA, LDA, and multi-kernel learning SVM
Harmonic imaging with gas-filled microspheres: Initial experiences
Development of experimental ionospheric tomography
A novel region-based multimodal image fusion technique using improved dictionary learning
A Structure-Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis
Rectal cancer: Toward fully automatic discrimination of T2 and T3 rectal cancers using deep convolutional neural network
The pyramidal-mirror detector for scanning laser acoustic microscopy
Unsupervised Domain Adaptive Medical Segmentation Network Based on Contrastive Learning
Robust brain MRI denoising and segmentation using enhanced non-local means algorithm
Unifying maximum likelihood approaches in medical image registration
An efficient brain tumor segmentation model based on group normalization and 3D U-Net
Joint coding of multiview video and depth data using virtual view synthesis
It is time to make neuroimaging research data beneficial to the participants
Filtered backprojection algorithm can outperform iterative maximum likelihood expectation-maximization algorithm
Iterative ultrasonic signal and image deconvolution for estimation of the complex medium response
Automated microscopy in diagnostic histopathology: From image processing to automated reasoning
Brain Tumor Segmentation Based on α-Expansion Graph Cut
Morphological hierarchical segmentation and color spaces
Probing of human implicit intent based on eye movement and pupillary analysis for augmented cognition
Pulse-echo microwave imaging for NDE of civil structures: Image reconstruction, enhancement, and object recognition
Superresolution capabilities of the Gerchberg method in the band-pass case: An eigenvalue analysis
Application of morphological connected openings and levelings on magnetic resonance images of the brain
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network
Gingivitis identification via multichannel gray-level co-occurrence matrix and particle swarm optimization neural network
Graph models applied to specification, simulation, allocation, and scheduling of real-time computer vision applications
Automatic breast cancer detection based on optimized neural network using whale optimization algorithm
Expression of Concern: A gingivitis identification method based on contrast-limited adaptive histogram equalization, gray-level co-occurrence matrix, and extreme learning machine
Differentiation of tumoral and non-tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study
Multi-feature fusion of deep networks for mitosis segmentation in histological images
Stochastic Class-Attention Net to Detect the Breast Carcinoma Subtypes With Test Time Augmentation
Image reconstruction with a shift-variant filtration in circular cone-beam CT
Color invariant object recognition using entropic graphs