yusuke1997/dblp-id-title huggingface dataset:
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images
Brain MR image tumor detection and classification using neuro fuzzy with binary cuckoo search technique
Radiomic Feature-Based Prediction of Primary Cancer Origins in Brain Metastases Using Machine Learning
First-order algorithm with three clusters of optical flow vectors
A novel multimodal medical image fusion using sparse representation and modified spatial frequency
Modified Global Flower Pollination Algorithm-based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging
Lossless compression for storing similar binary images
Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework
Wavelet-accelerated regularization methods for hyperthermia treatment planning
Fully automated pipeline for quantification and localization of white matter hyperintensity in brain magnetic resonance image
Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments
Bayesian reconstruction for SPECT: Validation with monte carlo simulation, experimental phantom, and real patient data
On estimation of the number of image principal colors and color reduction through self-organized neural networks
Improved upsampling filter design for spatially scalable video coding
Walsh Hadamard kernel-based texture feature for multimodal MRI brain tumour segmentation
mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images
Super-resolution of images: Algorithms, principles, performance
Grand alliance MPEG-2-based video decoder with parallel processing architecture
A method to measure data complexity of a complicated medical data set
Wavelet processing of images for target detection
Multiview cluster ensembles for multimodal MRI segmentation
Functional connectivity differences in brain networks from childhood to youth
Improving Image Quality of Thin-Slice and Low-keV Images in Dual-Energy CT Angiography for Children With Neuroblastoma Using Deep Learning Image Reconstruction
Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm
Limited-Angle inverse scattering problems and their applications for geophysical explorations
Automatic detection and segmentation of lung nodules in different locations from CT images based on adaptive α-hull algorithm and DenseNet convolutional network
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI
Brain tumor classification by using a novel convolutional neural network structure
CVINet: A deep learning based model for the diagnosis of chronic venous insufficiency in lower extremity using infrared thermal images
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks
Character recognition via critical points
Hybrid time-reassigned multisynchrosqueezing transform-Picard-based automated electroencephalography artifact correction methodology for brain-computer interface applications
Leakage suppression in human airway tree segmentation using shape optimization based on fuzzy connectivity method
Automatic facial expression recognition based on pixel-pattern-based texture feature
Comparison of statistical methods in MR imaging
A segmentation system based on clustering method for pediatric DTI images
Endoscopic capsule robots using reconfigurable modular assembly: A pilot study
Multiview convolutional neural networks for lung nodule classification
Enhanced BoxInst for Weakly Supervised Liver Tumor Instance Segmentation in CT Images
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three-dimensional image processing algorithms for diffuse optical imaging
Alternatives to the use of the DFT in MRI and spectroscopic reconstructions
Medical image enhancement algorithm based on NSCT and the improved fuzzy contrast
Computing surfaces via pq-permutations
Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion
Feature Pyramid Network Based Spatial Attention and Cross-Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images
ET-WOFS Metaheuristic Feature Selection Based Approach for Endometrial Cancer Classification and Detection
A multiple feature/resolution approach to handprinted digit and character recognition
Resolution analysis of ionospheric tomography systems
New scheme of digital watermarking using an adaptive embedding strength applied on multiresolution filed by 9/7 wavelet
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data
A 3D modeling and free-view generation system using environmental stereo cameras
On the application of discrete tomography to CT-assisted engineering and design
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging
Contrast enhancement using real coded genetic algorithm based modified histogram equalization for gray scale images
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization
Mobile-aided screening system for proliferative diabetic retinopathy
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba-Based Network for Registration Performance Enhancement
Early cervical cancer diagnosis using Sooty tern-optimized CNN-LSTM classifier
Parallel transmit and receive technology in high-field magnetic resonance neuroimaging
Relaxation time constants and apparent diffusion coefficients of rat retina at 7 Tesla
Efficient impulse noise removal using hybrid neuro-fuzzy filter with optimized intelligent water drop technique
A rapid automatic brain tumor detection method for MRI images using modified minimum error thresholding technique
DBE-Net: A Dual-Branch Boundary Enhancement Network for Pathological Image Segmentation
Rate-distortion optimized intra update for error resilience in MPEG-4 video coding
LSS-net: 3-dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis
Satellite image segmentation using hybrid variable genetic algorithm
Investigation of smooth basis functions and an approximated projection algorithm for faster tomography
An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework
Computer aided automated detection and classification of brain tumors using CANFIS classification method
Contrast enhancement and artifact reduction in magnetization-prepared MR angiography
Some early radiotherapy optimization work
SKMAT-U-Net architecture for breast mass segmentation
Block-based recursive motion filtering for preserving true motion vectors in time-varying texture objects
Guest editorial: Advances in quantitative image analysis
MaFMatch : Semi-Supervised Medical Image Segmentation Network Based on Mixed Data and Feature Augmentation
CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor segmentation
HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X-Ray images
Numerically robust minimal-scan reconstruction algorithms for diffraction tomography via radon transform inversion
Scanning tomographic acoustic microscopy: Development and applications
ME-Net: Multi-encoder net framework for brain tumor segmentation
A diffusion-based compensation approach for intensity inhomogeneity correction in MRI
A CNN transfer learning-based approach for segmentation and classification of brain stroke from noncontrast CT images
Colon tumor localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping
YOLOv7-XAI: Multi-Class Skin Lesion Diagnosis Using Explainable AI With Fair Decision Making
Dual Diversity and Pseudo-Label Correction Learning for Semi-Supervised Medical Image Segmentation
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
Recognizing of Vocal Fold Disorders From High Speed Video: Use of Spatio-Temporal Deep Neural Networks
Bidirectional multiple-valued neural network for pattern recognition and associative recall
Deep learning super-resolution electron microscopy based on deep residual attention network
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features
Estimation of a two-dimensional seismic compressional-wave velocity distribution by iterative tomographic imaging
GlaucoDiff: A Framework for Generating Balanced Glaucoma Fundus Images and Improving Diagnostic Performance
Modified U-Net for cytological medical image segmentation
CSDL-Net: An iterative network based on compressed sensing and deep learning
New metric for stereo image quality assessment based on HVS
Remote sensing image segmentation using a Kalman filter-trained neural network
Color reduction for complex document images
Optimizing Skin Cancer Classification With ResNet -18: A Scalable Approach With 3D Total Body Photography ( 3D - TBP )
Biological applications of the AFM: From single molecules to organs
Systematic study and design of multimodal MRI image augmentation for brain tumor detection with loss aware exchange and residual networks
Mixed attention and regularized COVID-19 network: An approach to detection of COVID-19 with chest x-ray images
On holographic transform compression of images
Hybrid Support Vector Machine-Convolutional Neural Networks Multi-Classification Models for Detection of Kidney Stones
Fully automatic multisegmentation approach for magnetic resonance imaging brain tumor detection using improved region-growing and quasi-Monte Carlo-expectation maximization algorithm
A deep learning approach for classification of COVID and pneumonia using DenseNet-201
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features
Deep learning-based automated mitosis detection in histopathology images for breast cancer grading
Progressive edge detection compression for fingerprint images
A new line symmetry distance based automatic clustering technique: Application to image segmentation
Control of dermatology image integrity using reversible watermarking
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement
Study of white matter anatomy and 3D tract reconstruction by diffusion tensor imaging
Nonrigid object motion and deformation estimation from three-dimensional data
Deep learning on compressed sensing measurements in pneumonia detection
Residual learning based CNN for breast cancer histopathological image classification
Regularization in parallel magnetic resonance imaging
A new linearly constrained minimum variance beamformer for reconstructing EEG sparse sources
High-precision real-time urine crystallization recognition based on dilated bilinear space pyramid ConvNext
Application of compatible dual-echo arteriovenography in stroke: Preliminary observations
Glioma detection using EHO based FLAME clustering in MR brain images
An enhanced weighted greedy analysis pursuit algorithm with application to EEG signal reconstruction
How to tell the difference between a cat and a dog?
Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning
Segmentation of the left atrium and proximal pulmonary veins based on dimensional decomposition attention
HS-UNET-ID: An approach for human skin classification integrating between UNET and improved dense convolutional network
New examples of a recursive algorithm for calculating the echo pattern from a multilayered structure: Application to four-layered structures
A Metaheuristic-Based Conductivity Distribution Optimization Method for Accurate Imaging in Electrical Impedance Tomography
A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD
Bayesian inference for inverse problems in signal and image processing and applications
An efficient automated methodology for detecting and segmenting the ischemic stroke in brain MRI images
A simple set of numerical invariants for the analysis of images
The advanced spaceborne thermal emission and reflectance radiometer (Aster)
Model-based methods for textile fault detection
An AG-RetinaNet for Embryonic Blastomeres Detection and Counting
A new shape-vector quantization-based adaptive predictive image coder
Properties of essential matrices
TAU-EffNetB7: A Novel Triple Attention U-Net Approach Using EfficientNetB7 for Enhanced Polyp Segmentation
EDenseNetViT: Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis
Exploration of connectivity with SEM: An fMRI study of resting state
SAtUNet: Series atrous convolution enhanced U-Net for lung nodule segmentation
LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification
Simulation Design of a Triple Antenna Combination for PET-MRI Imaging Compatible With 3, 7, and 11.74 T MRI Scanner
ARCNet: Adaptive Reconstruction-Driven Cascaded Network for Deformable Registration of Images With Pathologies
Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction
Discrete Radon transform and its approximate inversion via the EM algorithm
Di-phase midway convolution and deconvolution network for brain tumor segmentation in MRI images
Data from orbiting navigation satellites for tomographic reconstruction
Aberration correction in ultrasonic medical imaging with time-reversal techniques
Local elastic matching and pattern recognition in MR mammography
Removing ring artifacts in CBCT images via L0 smoothing
Image reconstruction and restoration in astronomy
An improved machine learning technique based on downsized KPCA for Alzheimer's disease classification
Analysis and classification of malignancy in pancreatic magnetic resonance images using neural network techniques
NMDAU-Net: A Novel Lightweight 3D Network for Precision Segmentation of Brain Gliomas in MRI
Accurate and fast extraction of adhesive cells based on concave points detection and matching
An analytic simplification for the reconstruction problem of electrical impedance tomography
Interpretable Model Based on CT Radiomics and Deep Learning Features for Distinguishing Typical Signs of Secondary Pulmonary Tuberculosis
A multilevel self-attention based segmentation and classification technique using Directional Hexagonal Mixed Pattern algorithm for lung nodule detection in thoracic CT image
Identification of biological markers in cancer disease using explainable artificial intelligence
Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networks
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
Improved Brain Tumor Segmentation With SegFormer : A Transformer-Based Architecture for Cross-Dataset Generalization
Jitter smoothing and traffic modeling for MPEG-2 video transport over ATM networks
Pneumonia Image Classification Based on Lightweight Mobile ViT Networks
Advanced image-processing technique for real-time interpretation of ground-penetrating radar images
A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm
Three-Dimensional Network With Squeeze and Excitation for Accurate Multi-Region Brain Tumor Segmentation
A nonlinear inverse problem inspired by three-dimensional diffuse tomography: Explicit formulas
Lung computed tomography image enhancement using U-Net segmentation
COVID-19 lung infection segmentation from chest CT images based on CAPA-ResUNet
Pixel by Pixel Semantic Segmentation Approach on WSI Images for Gastric Gland Segmentation and Gastric Cancer Grade Classification Using MLP-XAI Model
Tomotherapy: Optimized planning and delivery of radiation therapy
A Novel Network With Spectrum Transformer and Triplet Attention for CT Image Segmentation
Automated detection of glioblastoma tumor in brain magnetic imaging using ANFIS classifier
Time-varying reconstruction in single photon emission computed tomography
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features
Creation of various skin sensations using pulsed focused ultrasound: Evidence for functional neuromodulation
Modern Academia: From "Publish or Perish" to "Monetize or Collapse"
Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics
Stochastic geophysical diffraction tomography
CLA-UNet: Convolution and Focused Linear Attention Fusion for Tumor Cell Nucleus Segmentation
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model
Combining ubiquitous direction-sensitive digitizing with a multimedia electronic dictionary for enhanced understanding
New splitting algorithms for geometric transformations of digital images and their error analysis
Multifrequency backscattering tomography for constant and vertically varying backgrounds
Content-based video retrieval: Three example systems from TRECVid
Signal intensity correction for multichannel MR images using radon transformation
GSCCANet: Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps
CafeNet: A Novel Multi-Scale Context Aggregation and Multi-Level Foreground Enhancement Network for Polyp Segmentation
Superhigh image resolution for microwave imaging
Functional MRI of human motor cortices during overt and imagined finger movements
Model-based reconstruction for T1 mapping using single-shot inversion-recovery radial FLASH
Intra voxel analysis in magnetic resonance imaging via deep learning
A method for three-dimensional time-resolved optical tomography
BATU: A Workflow for Multi-Network Ensemble Learning in Cross-Dataset Generalization of Skin Lesion Analysis
Determination of yarn production characteristics using image processing
Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach
Subject and class specific frequency bands selection for multiclass motor imagery classification
NIR-II Fluorescence Image Translation via Latent Space Disentanglement
An application of linear predictive coding and computational geometry to iris recognition
Scale and skew-invariant road sign recognition
Microwave tomography for compact-support dielectric objects
OPFSS: A Few-Shot Medical Image Segmentation Algorithm Based on Optimized Pseudo-Annotations and Self-Attention
Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months
Computer-aided diagnosis system for the detection of bronchiectasis in chest computed tomography images
Planetary cameras
A new algorithm for triangulation from cross sections and its application to surface area estimation
An extended non-local means algorithm: Application to brain MRI
Performance analysis of brain tissues and tumor detection and grading system using ANFIS classifier
Fuzzy rule-based image processing
Skin Cancer Classification in Dermoscopic Images Using Multi-Scale Feature Map Fusion Based on Deep Learning
The frequency structure matrix: A representation of color filter arrays
Imaging techniques for cable network structures
A multiresolution-based method for the determination of the relative resolution between images: First application to remote sensing and medical images
A novel automated magnetic resonance image segmentation approach based on elliptical gamma mixture model for breast lumps detection
Assessment of severity in neuropsychiatric disorders based on radiomic features with prior shape level set and metaheuristic algorithms
Uncertainty-Aware Graph Self-Training for Autism Spectrum Disorder Classification in Multiple Centers
Secret image transmission based on VQ and data embedding
Application of a novel T1 retrospective quantification using internal references (T1-REQUIRE) algorithm to derive quantitative T1 relaxation maps of the brain
Computerized diagnosis of knee osteoarthritis from x-ray images using combined texture features: Data from the osteoarthritis initiative
GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation
The determination of the optimal strip-thickness of anti-scatter grids for a given grid ratio and strip height
A Review of U-Net-Based Deep Learning Models for Skin Lesion Segmentation
MPEG-4 video verification model: Status and directions
Microscopic image segmentation based on pixel classification and dimensionality reduction
Regularization methods in image restoration: An application to HST images
Fast hierarchical noniterative registration algorithm
Languages for constrained binary segmentation based on maximum a posteriori probability labeling
Optimal deep belief network with opposition-based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach
Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis
Medical images compression for remote diagnosis using modified SPIHT data organization and fidelity enhancement filter
Image coding based on wavelet feature vector
A review of seismic acoustic imaging by reverse-time migration
Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images
Optimizing radiation therapy inverse treatment planning using the simulated annealing technique
Layer-Stripping direct traveltime inversion for seismic data
Statistically based image reconstruction for emission tomography
Dual-Resonant RF Coil for Proton and Phosphorus Imaging at 7 Tesla MRI
Multimodal Radiomics and Deep Learning Integration for Bone Health Assessment in Postmenopausal Women via Dental Radiographs: Development of an Interpretable Nomogram
Fast template matching using correlation-based adaptive predictive search
Pioneering Precision in Magnetic Resonance Imaging Training: The Introduction of the MRI Interpretation Competency Scale
A theoretical solution to MAP-EM partial volume segmentation of medical images
Novel local information kernelized fuzzy C-means algorithm for image segmentation
Bank check processing system
Real-Time, Multi-Task Mobile Application for Automatic Bleeding and Non-Bleeding Frame Analysis in Video Capsule Endoscopy Using an Ensemble of Faster R-CNN and LinkNet
A hybrid PET-MRI: An integrated molecular-genetic imaging system with HRRT-PET and 7.0-T MRI
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach
Reduction of space-complexity of hierarchical data structures
Design of rectangular coaxial slot antenna for ultra-high-field magnetic resonance imaging
Cascaded networks for the embryo classification on microscopic images using the residual external-attention
DualBranch-FusionNet: A Hybrid CNN-Transformer Architecture for Cervical Cell Image Classification
Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre-trained convolutional neural networks
Glioma grade detection using grasshopper optimization algorithm-optimized machine learning methods: The Cancer Imaging Archive study
Pyramid-based super-resolution of the undersampled and subpixel shifted image sequence
Improving fMRI activation detection sensitivity using intervoxel coherence mapping
Correction to "Multi-Branch Sustainable Convolutional Neural Network for Disease Classification"
A customized ConvNeXt-XL network with fusion of deep and handcrafted features for colposcopy image classification
Instrumentation for TMS-EEG Experiment: ArTGen and a Custom EEG Interface