yusuke1997/dblp-id-title huggingface dataset:
Enhanced Lung Cancer Diagnosis and Staging With HRNeT: A Deep Learning Approach
Characterization of regional differences in cerebral vascular response to breath holding using BOLD fMRI
Bioreactor and probe system for magnetic resonance microimaging and spectroscopy of chondrocytes and neocartilage
On the fast search algorithms for vector quantization encoding
Artifactual time-course correlations in echo-planar fMRI with implications for studies of brain function
High-temporal-resolution studies of the human primary visual cortex at 4 T: Teasing out the oxygenation contribution in FMRI
DETF-Net: A Network for Retinal Vessel Segmentation Utilizing Detailed Feature Enhancement and Dynamic Temporal Fusion
Study of the degree of III conditioning of the phase space of pencil-beam radiotherapy using singular value decomposition
Performance evaluation of dimensionality reduction techniques for multispectral images
Information count and distribution matrix: A contemporary approach for content-based brain image indexing
Brain MRI denoizing and segmentation based on improved adaptive nonlocal means
Research on Lung Sound Signal Image Feature Recognition Based on Temporal and Spatial Dual-Channel Long- and Short-Term Memory Model
Modified transform-based gamma correction for MRI tumor image denoising and segmentation by optimized histon-based elephant herding algorithm
Ultrasonic spectral-parameter imaging of the prostate
Imaging in three-dimensional conformal radiation therapy
Part segmentation from stereo
Attenuation map estimation with SPECT emission data only
GLAN: Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis
SWI post processing using granularity controlled edge-preserved denoising of multichannel GRE images
A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques
Effects of the curvelet transform over interferometric images
Real-time video surveillance system using a field programmable gate array
Motion and structure from line correspondences under orthographic projection
Positron emission tomography in neurological and psychiatric disorders
A statistical region selection and randomized volumetric features selection framework for early detection of Alzheimer's disease
A hybrid deep neural network-based automated diagnosis system using x-ray images and clinical findings
An effective approach for wavelet lifting based on filter optimization and median operator
Factorization-based active contour segmentation and pelican optimization-based modified bidirectional long short-term memory for ovarian tumor detection
Experimental comparison of fourier transformation and model-fitting methods of spectral analysis
Conductivity characteristics of human lung tissues
Robust MR image super-resolution reconstruction with cross-modal edge-preserving regularization
A status report on applying discrete inverse theory to ionospheric tomography
Using normalized echo state network to detect abnormal ECG patterns
An iterative method for maximum entropy regularization reconstruction in MRI
Dynamic weight HiLo attention network for medical image multiple organ segmentation
Time-varying reconstruction of the ionosphere. 1. The algorithm
Classifications of benign and malignant mammogram images using Gabor-modified CNN architecture
Automatic segmentation of cerebral hemispheres in MR human head scans
Influence of background and surround on image color matching
Data processing system for nuclear medicine images
Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey
ISAR motion compensation using the burst derivative measure as a focal quality indicator
CGS-Net: A classification-guided framework for automated infection segmentation of COVID-19 from CT images
Unification scheme for 3D surface reconstruction using physically based models
A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images
A Performance Indicator for Optimizing Source-Detector Separation in Functional Near-Infrared Spectroscopy
Lung computed axial tomography image segmentation using possibilistic fuzzy C-means approach for computer aided diagnosis system
Information theory, wavelets, and image compression
Perceptual steps along color scales
Identification of copy-paste regions in digital image
Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980-2022
Very-high-quality image compression based on noise modeling
Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features
Effects of biophysical and physiologic parameters on brain activation-induced R 2 * and R 2 changes: Simulations using a deterministic diffusion model
Model-based shape from shading for microelectronics applications
Contour reconstruction in diffraction tomography
An efficient skin cancer detection and classification using Improved Adaboost Aphid-Ant Mutualism model
On the pretreatment process for the object extraction in color image of wear debris
Enhancement of Chest X-Ray Images Classification With Fuzzy-Variable Neural Network Activation Function
New spherical PET design with fresnel aperture orientation
Classification of neovascularization on retinal images using extreme learning machine
SDR2Tr-GAN: A Novel Medical Image Fusion Pipeline Based on GAN With SDR2 Module and Transformer Optimization Strategy
Simplifying vein detection for intravenous procedures: A comparative assessment through near-infrared imaging system
Assessing spatial probabilistic distributional differences in the common space between schizophrenics and normal controls based on a novel automated probabilistic pattern analysis method
A method for eye detection based on SVD transforms
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection
3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary nodules
A study on multiple array method of birdcage coils to improve the signal intensity and homogeneity in small-animal whole-body magnetic resonance imaging at 7 T
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model
Near-optimal spatial encoding for dynamically adaptive MRI: Mathematical principles and computational methods
Performance analysis of computer aided brain tumor detection system using ANFIS classifier
XCapsNet: A deep neural network for automated detection of diabetic retinopathy
Image-guided navigation of single-element focused ultrasound transducer
Analysis of human chromosome images: Application towards an automated chromosome classification
A fourier-transforming coded aperture
Few-field radiation therapy optimization in the phase space of complication-free tumor control
SRP&PASMLP-Net: Lightweight skin lesion segmentation network based on structural re-parameterization and parallel axial shift multilayer perceptron
Imaging of earthquake sources
Digital electro-optical imaging sensors
Multiple sparse priors technique with optimized patches for brain source localization
Image indexing and retrieval using an ART-2A neural network architecture
Approximate volume rendering for curvilinear and unstructured grids by hardware-assisted polyhedron projection
Early breast cancer diagnosis using cogent activation function-based deep learning implementation on screened mammograms
Explainable Attention-Enhanced Approach for Multimodal Breast Cancer Diagnosis Across Diverse Imaging Modalities
Molecular cancer classification on microarrays gene expression data using wavelet-based deep convolutional neural network
CANFIS based glioma brain tumor classification and retrieval system for tumor diagnosis
A factorization-based approach to photometric stereo
A novel scheme for image sharpness using inflection points
Range and variability of CBF in young adults: PC-MRI and ASL studies
Two-scale image decomposition based image fusion using structure tensor
Lymph node detection method based on multisource transfer learning and convolutional neural network
Study on color space selection for detecting cast shadows in video surveillance
Quantitative evaluation on 3D fetus morphology via X-ray grating based imaging technique
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach
Severity detection and infection level identification of tuberculosis using deep learning
An Enhanced U-Net Model for Precise Oral Epithelial Layer Segmentation Using Patch-Based Training
Early detection of melanoma images using gray level co-occurrence matrix features and machine learning techniques for effective clinical diagnosis
Genetic-based adaptive momentum estimation for predicting mortality risk factors for COVID-19 patients using deep learning
High-resolution restoration of dynamic image sequences
Causality-Inspired Neural Network for the Identification of Schizophrenia
Deep learning network selection and optimized information fusion for enhanced COVID-19 detection
An intelligent mining system for diagnosing medical images using combined texture-histogram features
A machine learning classification approach based glioma brain tumor detection
An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images
Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features
Image registration-based brain tumor detection and segmentation using ANFIS classification approach
Carotid Artery Plague Segmentation Model Based on Dual-Modal
Optimization and integration of high-performance ground penetrating imaging radar system: A research prototype
Robust segmentation of optic disc and optic cup using statistical Kurtosis test
Edge preserving filter of side scan sonar images with wavelet modulus maxima shift-correlative technique
HSCFNet: Lightweight Convolutional Neural Network for the Classification of Infectious and Non-Infectious Skin Diseases
Total variation-based ultrasound image despeckling using method noise thresholding in non-subsampled contourlet transform
TPA-Seg: Multi-Class Nucleus Segmentation Using Text Prompts and Cross-Attention
Keyhole-3D phase contrast magnetic resonance angiography: A time-resolved reconstruction method
Segmentation of brain MRI using active contour model
Machine learning-based tri-stage classification of Alzheimer's progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and spatial features
Face tracking for model-based coding and face animation
A second-generation wavelet framework for super-resolution with noise filtering
Fitness adaptive deer hunting-based region growing and recurrent neural network for melanoma skin cancer detection
Semantic context-aware attention UNET for lung cancer segmentation and classification
Micro-vascular imaging experiences of time-of-flight MRA at 7T for cerebrovascular diseases
Evaluation of quantitative dynamic contrast-enhanced (DCE)-MRI parameters using a reference region model in invasive ductal carcinoma (IDC) patients
Deep hybrid model for Mpox disease diagnosis from skin lesion images
Multidimensional perturbed consistency learning for semi-supervised medical image segmentation
Diagnosing of Parkinson's disease based on hand drawing analysis using Bi-Directional LSTM equipped with fuzzy inferential soft-max classifier
Medical image fusion based on laws of texture energy measures in stationary wavelet transform domain
A serialized classification method for pulmonary nodules based on lightweight cascaded convolutional neural network-long short-term memory
Limited diffraction array beams
Functional, physiological, and metabolic toolbox for clinical magnetic resonance imaging: Integration of acquisition and analysis strategies
New human visual system model and its application for designing image transmission systems
Classification of leaf images
3D conditional generative adversarial network-based synthetic medical image augmentation for lung nodule detection
A dual channel and spatial attention network for automatic spine segmentation of MRI images
Unmixing functional magnetic resonance imaging data using matrix factorization
Compressed sensing with MCT and I(2D) 2 PCA processing for efficient face recognition
Visual speech, a trajectory in viseme space
Time-resolved and spatio-temporal analysis of complex cognitive processes and their role in disorders like developmental dyscalculia
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage
RTSVC: Real-time system for visual control of robots
Designing discriminative spatial filter vectors in motor imagery brain-computer interface
Differentiating Sporadic Colonic Hamartoma From Adenomas in Narrow Band Imaging Using a Novel AI Network: Attention Based Multi-Scale CNN (AM-Net)
Triple novelty block detection and classification approach for lung tumor analysis
Block-based watermarking for color images using visibility of quantization noise
Exploring human brain neuronal currents with phase MRI
COVID-19 vs influenza viruses: A cockroach optimized deep neural network classification approach
An adaptive framework for saliency detection
Feature Subspace Projection Knowledge Distillation for Medical Image Segmentation
Attenuating noise from computed tomography medical images using a coefficients-driven total variation denoising algorithm
Implementation of convolutional neural network categorizers in coronary ischemia detection
A novel and efficient deep learning approach for COVID-19 detection using X-ray imaging modality
Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR-only radiation therapy
Local fractal geometric features for image segmentation
Deep learning based automated detection of intraretinal cystoid fluid
A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process
Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagery
Bimodal recognition of affective states with the features inspired from human visual and auditory perception system
Reconstruction of two-valued matrices from their two projections
Symmetric-key block cipher for image and text cryptography
Image texture classification using wavelet based curve fitting and probabilistic neural network
Applications of monotonic noise reduction algorithms in fMRI, phase estimation, and contrast enhancement
Can a computer vision system work like the human one?
Image reconstruction of buried inhomogeneous dielectric cylinders coated on a conductor
Iterative adaptive spatial filtering for noise-suppression in functional magnetic resonance imaging time-series
3D MedicalDet-Mamba: A Hybrid Mamba-CNN Network for Medical Object Detection and Localization
Medical image contrast enhancement based on improved sparrow search algorithm
Theory and application of sonoelasticity imaging
Orthogonal decomposition framework for ionospheric tomography algorithms
Optimized radiofrequency coils for increased signal-to-noise ratio in magnetic resonance microscopy
Balanced steady state free precession fMRI
A comprehensive study on automatic non-informative frame detection in colonoscopy videos
Advancing Leukocyte Classification: A Cutting-Edge Deep Learning Approach for AI-Driven Clinical Diagnosis
Explorative signal processing in functional MR imaging
Brain Tumors Classification in MRIs Based on Personalized Federated Distillation Learning With Similarity-Preserving
CerviFormer: A pap smear-based cervical cancer classification method using cross-attention and latent transformer
Enhanced brain image retrieval using carrier frequency offset compensated orthogonal frequency division multiplexing for telemedicine applications
Few-view image reconstruction combining total variation and a high-order norm
MARS-Net: Multi-Scale Attention Residual Spatiotemporal Network for Robust Left Ventricular Ejection Fraction Prediction in Echocardiography Videos
Anatomical region segmentation method from dermoscopic images of pigmented skin lesions
Optimal consensus set for digital line and plane fitting
Research on data classification and feature fusion method of cancer nuclei image based on deep learning
Mammographic mass recognition using feature reuse and channel attention mechanism
Tracking severe weather storms in Doppler radar images
Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images
Network flow model for binary tomography on lattices
Perceptual denoising of color images
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique
HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis
Particle swarm optimization-based liver disorder ultrasound image classification using multi-level and multi-domain features
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 lesions
A dynamic threshold-based local mesh ternary pattern technique for biomedical image retrieval
Enhancing Melanoma Diagnostic: Harnessing the Synergy of AI and CNNs for Groundbreaking Advances in Early Melanoma Detection and Treatment Strategies
Segmentation of glioma tumors using convolutional neural networks
DSSViT: Multi-Scale Adaptive Fusion Vision Transformer With Dense Feature Reuse for Robust Pneumonia Detection in Chest Radiography
Self-Supervised DRL With Twin Critics: A Novel Framework for Glioblastoma Survival Prognostication
A Multi-Fusion Residual Attention U-Net Using Temporal Information for Segmentation of Left Ventricular Structures in 2D Echocardiographic Videos
Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low-grade gliomas
Predicting lung cancer treatment response from CT images using deep learning
Evaluation of polyvinyl alcohol cryogel as an acoustic coupling medium for low-intensity transcranial focused ultrasound
Edge-preserving tomographic reconstruction from gaussian data using a gibbs prior and a generalized expectation-maximization algorithm
Intraframe image decoding based on a nonlinear variational approach
A hierarchical stimulus presentation paradigm for a P300-based Hangul speller
Application of the genetic algorithm for microwave imaging of a layered dielectric object via the regular shape expansion technique
Diagnosis of disc bulge and disc desiccation in lumbar MRI using concatenated shape and texture features with random forest classifier
Enc-Unet: A novel method for Glioma segmentation
Morphological contrast index based on the Weber's law
COVID-opt-aiNet: A clinical decision support system for COVID-19 detection
Investigation of spectrally coherent resting-state networks using non-negative matrix factorization for functional MRI data
Medical Image Fusion for Multiple Diseases Features Enhancement
Data modeling and method analysis for brain imaging genetics
Computer Aided Grading System of Digital Microscopic Blastocyst Images
Pattern recognition: Historical perspective and future directions
Bayesian image decomposition applied to relaxographic imaging
New calculation method for exact length weighting factor in cone-beam computed tomography
On the reproducibility of in vivo temporal signal-to-noise ratio and its utility as a predictor of subject-level t-values in a functional magnetic resonance imaging study
OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images
A spin glass model of a Markov random field
Sleep disorder identification using wavelet scattering on ECG signals
Brain perfusion SPECT can differentiate clinical subtypes of Parkinson's diseases
Retinal image enhancement using adaptive histogram equalization tuned with nonsimilar grouping curvelet
Postal address reading in real time
Medical image registration-based retrieval using distance metrics
Group inference of default-mode networks from functional magnetic resonance imaging data: comparison of random- and mixed-effects group statistics
An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects
Accelerated brain tumor dynamic contrast-enhanced MRI using Adaptive Pharmaco-Kinetic Model Constrained method
Electromagnetic imaging for a conducting cylinder buried in a slab medium by the genetic algorithm
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scans
Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques
A generalizable approach based on the U-Net model for automatic intraretinal cyst segmentation in SD-OCT images
Secure video distribution scheme based on partial encryption
Information contained in the motion field of lines and the cooperation between motion and stereo
Improved sparse representation algorithm for optical coherence tomography images
Multicriteria maximum likelihood neural network approach to positron emission tomography
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection
Terrain analysis from curvature profiles
Synthetic-aperture technique for high-resolution composite imaging of the inside walls of tubular specimens
Real-time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models
DML-GNN: ASD Diagnosis Based on Dual-Atlas Multi-Feature Learning Graph Neural Network
Color high dynamic range imaging: The luminance-chrominance approach
Dermo-Optimizer: Skin Lesion Classification Using Information-Theoretic Deep Feature Fusion and Entropy-Controlled Binary Bat Optimization
Dual-Path Multi-Scale CNN for Precise Classification of Non-Small Cell Lung Cancer
MRI brain image enhancement using brightness preserving adaptive fuzzy histogram equalization
Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three-dimensional magnetic resonance spectroscopic imaging data
Study of Retinal Vessel Segmentation Algorithm Based on Receptive Field Expansion and Feature Refinement
Mining frequent approximate patterns in large networks
Design and implementation of real-time software-based H.261 video codec
A study on restoration of iris images with motion-and-optical blur on mobile iris recognition devices
An image compression method based on multiple models for the probabilities of patterns
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation
Brain tumor image segmentation algorithm based on multimodal feature fusion of Bayesian weight distribution
Brain tumor detection and patient survival prediction using U-Net and regression model
Two level security for medical images using watermarking/encryption algorithms
EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images
Improved GAN for image resolution enhancement using ViT for breast cancer detection
Computer understanding of document structure
MGMFormer: Multi-Scale Attentional Medical Image Segmentation Network for Semantic Feature Enhancement
Quantum-inspired hybrid algorithm for image classification and segmentation: Q-Means++ max-cut method
Machine Learning Framework for Classification of COVID -19 Variants Using K-mer Based DNA Sequencing
An Efficient Parallel Branch Network for Multi-Class Classification of Prostate Cancer From Histopathological Images
Early detection of brain cancer using association allotment hierarchical clustering