yusuke1997/dblp-id-title huggingface dataset:
Watermarking in halftone images with mixed halftone techniques
Olfactory identification and white matter integrity in amnestic mild cognitive impairment: A preliminary study
Time domain simulation of Fourier imaging by summation of isochromats
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison
Functional spectroscopy of brain activation following a single light pulse: Examinations of the mechanism of the fast initial response
Enhancing brain tumor classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection
Recognizability of iso-picture languages by Wang systems
MMTFN: Multi-modal multi-scale transformer fusion network for Alzheimer's disease diagnosis
Adaptive image compression based on segmentation and block classification
Rotational band identification: A model-based detection and estimation approach
Image fusion methodology for efficient interpretation of multiband images in 3D high-resolution ultrasonic transmission tomography
Multimodal MRI-Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture
An improved fast marching method and its application in Alzheimer's disease
Classified variable-block-size motion estimation algorithm for image sequence coding
Dempster-Shafer theory-based hierarchical saliency detection
Brain tumor diagnosis based on metaheuristics and deep learning
In vivo correlation between semi-quantitative hemodynamic parameters and K trans derived from DCE-MRI of brain tumors
Medians of polyominoes: A property for reconstruction
Spatially adaptive iterative algorithm for the restoration of astronomical images
Optimal packetization scheme for embedded multimedia bitstreams using genetic algorithms
Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model
Detection and diagnosis of brain tumors using deep learning convolutional neural networks
Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features
Rapid method for assessing relative tissue stiffness using MR acoustic radiation force imaging
Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images
Background and mathematical analysis of diffusion MRI methods
Efficient spine segmentation network based on multi-scale feature extraction and multi-dimensional spatial attention
A novel approach in multimodality medical image fusion using optimal shearlet and deep learning
Beam blocking method for optical characterization of surfaces
A new images segmentation method based on modified particle swarm optimization algorithm
Magnetic resonance scan-time reduction using echo prediction
Development of automatic glioma brain tumor detection system using deep convolutional neural networks
Explainable Weakly Supervised Deep Learning Model for Anomaly Classification and Localization in Wireless Capsule Endoscopy Images
A deep data-driven approach for enhanced segmentation of blood vessel for diabetic retinopathy
Alternative approach to the shape from shading problem
Similarities and differences in radiation therapy optimization and tomographic reconstruction
CXR-ODDet: An Omni-Decoupled Multi-Class Lesion Localization Framework for Automatic Chest X-Ray Analysis
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification
Noncontact versus contact imaging: An atomic force microscopic study on hepatic endothelial cells in vitro
Fast Feldkamp reconstruction based on focus of attention and distributed computing
Accurate classification of nodules and non-nodules from computed tomography images based on radiomics and machine learning algorithms
Texture-based parametric active contour for target detection and tracking
An integrated feature frame work for automated segmentation of COVID-19 infection from lung CT images
Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study
KIDBA-Net: A Multi-Feature Fusion Brain Tumor Segmentation Network Utilizing Kernel Inception Depthwise Convolution and Bi-Cross Attention
Measuring panoramic radiomorphometric indices for mandible bone using active shape model and Bayesian information criterion-support vector machine
Remote ultrasound real-time consultation and quality control system
TDGU-Net: A Hybrid CNN-Transformer Model for Intracranial Aneurysm Segmentation
Towards Efficient Brain Tumor Segmentation via a Transformer-Driven 3D U-Net
A Risk Stratification Study of Ultrasound Images of Thyroid Nodules Based on Improved DETR
Skin lesion classification based on hybrid self-supervised pretext task
The usefulness of diffusion-weighted readout-segmented EPI and fast spin echo with BLADE (PROPELLER) k-space sampling: A comparison with single-shot EPI for diffusion-weighted imaging in ischemic stroke patients
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model
Segmentation and classification of ground glass nodule on CT images
Cognitive task design for FMRI
Multi-Class Classification of Diabetic Retinopathy Diseases From Fundus Images Using Criss-Cross Attention Based Deep Residual Squeeze and Excitation Assisted Vision Transformer Model
Recurrent retrieval of the coherent light field phase
A precise and timely graph-based approach to identify SARS Covid19 infection from medical imaging data using IsoCovNet
Multiscale Rolling Attention Network With Enhanced Local and Global Features for Medical Image Segmentation
Automated measurement of sulcus angle on axial knee magnetic resonance images
Improving Stroke Segmentation and Classification Performance Using a Goal-Oriented Deep Learning Framework
A pose-invariant approach for hypothesis support
Electromagnetic transverse electric-wave inverse scattering of a conductor by the genetic algorithm
Determination of optimal number of projections and parametric sensitivity analysis of operators for parallel-ray transmission tomography using hybrid continuous genetic algorithm
Inlier-based ICA with an application to superimposed images
Brain tumor image pixel segmentation and detection using an aggregation of GAN models with vision transformer
A Multi-Scale Feature Interaction and Fusion Medical Image Segmentation Method
A novel two-band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals
Breast cancer histopathology image classification using kernelized weighted extreme learning machine
A region of interest focused Triple UNet architecture for skin lesion segmentation
Automatic detection and verification of solar features
Three-dimensional-based landmark tracker employing a superpixels method for neuroscience, biomechanics, and biology studies
Evaluation of optimal interpolation and segmentation of the optic nerves on magnetic resonance images for cross-sectional area measurement
Microwave imaging of moving objects
Tensor-Based Weber Feature Representation of Brain CT Images for the Automated Classification of Ischemic Stroke
Automated quantification of brain magnetic resonance image hyperintensities using hybrid clustering and knowledge-based methods
Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning
Automatic detection of brain tumor in magnetic resonance images using multi-texton histogram and support vector machine
Deep learning-based robust hybrid approaches for brain tumor classification in magnetic resonance images
Supervised pattern classification based on optimum-path forest
Neuroimaging computer-aided diagnosis systems for Alzheimer's disease
An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain-computer interfacing
Using light to probe the brain: Intrinsic signal optical imaging
Linear array arrangement using composite right-/left-handed transmission lines for magnetic resonance imaging
Breast lesion classification using features fusion and selection of ensemble ResNet method
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines
Brain image segmentation using a combination of expectation-maximization algorithm and watershed transform
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
Federated learning-based colorectal cancer classification by convolutional neural networks and general visual representation learning
HCIU: Hybrid clustered inception-based UNET for the automatic segmentation of organs at risk in thoracic computed tomography images
Stereoscopic 3D objects evoke stronger saliency for nonverbal working memory: An fMRI study
A novel prognosis and segmentation of necrosis (dead cells) in contrast enhanced T1-weighted glioblastoma tumor with automatic contextual clustering
Research on Multi-Objective Optimization of Medical Image Segmentation Based on Frequency Domain Decoupling and Dual Attention Mechanism
Wavelet-based solution to anisotropic diffusion equation for edge detection
Edge-adaptive color interpolation for complementary color filter array
Challenges for molecular neuroimaging with MRI
A New Herbal Source of Synthesizing Contrast Agents for Magnetic Resonance Imaging
IGF - CNN : An Optimized Deep Learning Model for Covid-19 Classification
Lite-PolypNet: A Lightweight and Efficient Network for Polyp Segmentation in Colonoscopy Images
A multilayer recognition method for understanding table-form documents
A novel improved crow-search algorithm to classify the severity in digital mammograms
On a Bayesian approach to coherent radar imaging
Fast wavelet-based multiresolution image registration on a multiprocessing digital signal processor
Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language
Machine learning approach for homolog chromosome classification
M3IF-(SWT-TVC): Multi-Modal Medical Image Fusion via Weighted Energy, Contrast in the SWT Domain, and Total Variation Minimization With Chambolle's Algorithm
Efficacy of an NMDA receptor antagonist for Parkinson's disease dementia: A brain perfusion SPECT study
Application of diffusion tensor MRI to neurological segmentation
A novel software framework for magnetic particle imaging reconstruction
Multiscale ICA for fundus image analysis
Enhancing Breast Cancer Diagnosis With Attention Branch Network and Thermographic Imaging
A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photographs
Classification of mammogram images using the energy probability in frequency domain and most discriminative power coefficients
Direct-Fourier reconstruction in tomography and synthetic aperture radar
A Federated Learning Framework for Brain Tumor Segmentation Without Sharing Patient Data
Evaluating conventional FMRI with respect to noninvasive localization of neuronal activity
Multimodal neurological image fusion based on adaptive biological inspired neural model in nonsubsampled Shearlet domain
On waveform design for optimal target discrimination
An efficient approach to texture-based image retrieval
A machine learning-based method for automatic diagnosis of ankle fracture using X-ray images
Classification of the four-class motor imagery signals using continuous wavelet transform filter bank-based two-dimensional images
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues
Improved segmentation of overlapping red blood cells on malaria blood smear images with TransUNet architecture
BCUIS-Net: A breast cancer ultrasound image segmentation network via boundary-aware and shape feature fusion
QCBO-WSVM: Quantum chaos butterfly optimization-based weighted support vector machine for neuropathic pain detection from EEG signal
Cross-Species Segmentation of Animal Prostate Using a Human Prostate Dataset and Limited Preoperative Animal Images: A Sampled Experiment on Dog Prostate Tissue
Use of fourier and hartley transforms in motion estimation: A comparative study
MSAF: A Cardiac 3D Image Segmentation Network Based on Multiscale Collaborative Attention and Multiscale Feature Fusion
Enhancing 3D Global and Local Feature Extraction for Pneumonia Multilesion Segmentation
Rapid computation of sodium bioscales using gpu-accelerated image reconstruction
TWEEC: Computer-aided glaucoma diagnosis from retinal images using deep learning techniques
Multiscale attention network for retinal vein occlusion classification with multicolor image
Enhanced mode-adaptive fine granularity scalability
Fuzzy C means integrated with spatial information and contrast enhancement for segmentation of MR brain images
Research on rehabilitation training bed with action prediction based on NARX neural network
Recent advances in scanning tomographic acoustic microscopy
Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function
Tiled top-down combinatorial pyramids for large images representation
Color edge detection using multiscale quaternion convolution
No reference quality evaluation of medical image fusion
A historical view of imaging systems and technology
A new algorithm for parallel thinning and its hardware realization
Harnessing AI for Comprehensive Reporting of Medical AI Research
Dimensional scalable lossless compression of MRI images using haar wavelet lifting scheme with EBCOT
TACT: Text attention based CNN-Transformer network for polyp segmentation
Constructing brain functional networks with adaptive manifold regularization for early mild cognitive impairment
Lossless color medical image compression using adaptive block-based encoding for human computed tomographic images
DCELANM-Net: Medical image segmentation based on dual channel efficient layer aggregation network with learner
A novel receptive field-regularized V-net and nodule classification network for lung nodule detection
Res-MulFra: Multilevel and Multiscale Framework for Brain Tumor Segmentation
Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification
Multi-level dilated convolutional neural network for brain tumour segmentation and multi-view-based radiomics for overall survival prediction
Neighborhood sequences in the diamond grid: Algorithms with two and three neighbors
Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection
Enhanced Segmentation of Active and Nonactive Multiple Sclerosis Plaques in T1 and FLAIR MRI Images Using Transformer-Based Encoders
Multiatlas-based segmentation of female pelvic organs: Application for computer-aided diagnosis of cervical cancer
Guest editorial: Advanced signal processing in MRI. Part II
Spectral density variation mapping of cerebral waves by three-dimensional interpolation techniques
Composite MR contrast agents for conditional cell-labeling
Thermography based breast cancer detection using self-adaptive gray level histogram equalization color enhancement method
Classification of focal and nonfocal EEG signals using ANFIS classifier for epilepsy detection
Automatic annotation of liver computed tomography images based on a vessel-skeletonization method
Threshold prediction for segmenting tumour from brain MRI scans
Impulse noise reduction using hybrid neuro-fuzzy filter with improved firefly algorithm from X-ray bio-images
Reading handwritten phrases on U.S. census forms
Extended and optimized deep convolutional neural network-based lung tumor identification in big data
Multimodal atomic force microscopy: Biological imaging using atomic force microscopy combined with light fluorescence and confocal microscopies and electrophysiologic recording
Distributed autoencoder classifier network for small-scale and scattered COVID-19 dataset classification
Brain tumor detection and diagnosis using ANFIS classifier
User-friendly image sharing using polynomials with different primes
Cell-type based semantic segmentation of histopathological images using deep convolutional neural networks
Development of handheld optical coherence tomography based on commercial intra-oral scanner shape for extended clinical utility in dentistry
Parameter estimation from magnitude MR images
Microwave imaging techniques, by Bernard D. Steinberg and Harish M. Subbaram, Wiley Series in Remote Sensing, Jin Au Kong, Ed., John Wiley & Sons, Inc., New York, 1991, 361 pp., $64.95, hardbound, ISBN 0-471-50078-X
Feature selection and classification using bio-inspired algorithms for the diagnosis of pulmonary emphysema subtypes
Splitting up panoramic range images into compact 2[1/2]D representations
Fast and accurate fuzzy C-means algorithm for MR brain image segmentation
D-Unet: A symmetric architecture of convolutional neural network with two auxiliary outputs for dementia recognition
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation
Deep feature enhancement and Xgboost network for multi-organ classification
Cubical cohomology ring of 3D photographs
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization
Planar-surface matching approach for estimating target location using laser range imagery
A new image sharpening approach for single-sensor digital cameras
Seismic reverberations and the remote estimation of properties of underwater soils
Clutter-free volume rendering for magnetic resonance angiography using fuzzy connectedness
Neural network based non-invasive method to detect anemia from images of eye conjunctiva
High-performance scalable parallel platform for volume reconstruction of PET data
YOLOv8 Outperforms Traditional CNN Models in Mammography Classification: Insights From a Multi-Institutional Dataset
MPKU-Net: A U-Shaped Medical Image Segmentation Network Based on MLP and KAN
A study on combining local field potential and single unit activity for better neural decoding
Guest editorial: Optimization of the three-dinensional dose delivery and tomotherapy
Video compression for the grand alliance: A historical perspective
Color aided motion-segmentation and object tracking for video sequences semantic analysis
A method for the visual analysis of early-stage Parkinson's disease based on virtual MRI-derived SPECT images
Quantitative Susceptibility Mapping MRI With Computer Vision Metrics to Reduce Scan Time for Brain Hemorrhage Assessment
The exponential radon transform and projection filtering in radiotherapy planning
An improved method for thyroid nodule ultrasound image segmentation based on U 2 -Net
Introducing PneumNet - A Groundbreaking Dual Version Deep Learning Model for Pneumonia Disease Detection
The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI
A blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences
Comparative Assessment of CNN and Transformer U-Nets in Multiple Sclerosis Lesion Segmentation
Brain tumor image segmentation based on prior knowledge via transformer
Comprehensive analysis of LPG-PCA algorithms in denoising and deblurring of medical images
Novel instrument for high-resolution ultrasound flow imaging
Spectral weighting for distributed backward propagation image reconstruction in diffraction tomography
Summarization of news video and its description for content-based access
Large-scaled detection of COVID-19 from X-ray using transfer learning
Multiresolution in astronomical image processing: A general framework
An alternative approach for determining the cholesterol level: Iris analysis
The TV-trawler project
Imaging of hemorrhagic stroke in magnetic induction tomography: An in vitro study
A comparative study on interpolation methods for controlled cardiac CT
Pixon-based multiresolution image reconstruction and the quantification of picture information content
Effective and efficient browsing of image databases
Quantitative analysis of cerebrospinal fluid flow in complex regions by using phase contrast magnetic resonance imaging
A local modified chan-vese model for segmenting inhomogeneous multiphase images
Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm
A target region extraction method for ultrasound medical images based on improved PRIDNet and UCTransNet
Gray level fuzzy deep neural networks for enhancing performance in lung disease detection: A comparative study with fuzzy logic methods
CasUNeXt: A Cascaded Transformer With Intra- and Inter-Scale Information for Medical Image Segmentation
Diffusion Model-Based MRI Super-Resolution Synthesis
Super-resolution of the undersampled and subpixel shifted image sequence by a neural network
A block iterative algorithm for tomographic reconstruction of ionospheric electron density
Att2ResNet: A deep attention-based approach for melanoma skin cancer classification
DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images
3D multi-resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules
A Novel Multimodal Medical Image Fusion Method Based on Detail Enhancement and Dual-Branch Feature Fusion
Differential photon waves imaging
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology
Role of high resolution in magnetic resonance (MR) imaging: Applications to MR angiography, intracranial T 1 -weighted imaging, and image interpolation
LFBTS: Enhanced Multimodality MRI Fusion for Brain Tumor Segmentation With Limited Computational Resources
Integrating Multi-Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification
CAB-Net: Convolutional attention BLSTM network for enhanced leukocyte classification
Problem-Oriented Strategy for Diabetic Retinopathy Identification
An automatic focusing algorithm
fMRI analysis of excessive binocular disparity on the human brain
Studying brain cytoarchitecture with MRI - Present, future and promises of high field
On the use of temporal correlation coefficients for magnetic resonance mapping of functional brain activation: Individualized thresholds and spatial response delineation
Enhanced ECG Signal Classification Using Multi-Branch Convolutions and Mamba Blocks With State-Space Models
Guest editorial: Special issue on applied color image processing
Automatic vergence control based on hierarchical segmentation of stereo pairs
BFR-Unet: A Full-Resolution Model for Efficient Segmentation of Tiny Blood Vessels
ChromSeg-P3GAN: A Benchmark Dataset and Pix2Pix Patch Generative Adversarial Network for Chromosome Segmentation
MAP fusion method for superresolution of images with locally varying pixel quality
Lossless image compression using a simple prediction method
Real-time volume rendering
A deep learning model for mass screening of COVID-19
A Unified Framework for Reliability Analysis in Neuroimaging With Krippendorff's α
EMViT-BCC: Enhanced Mobile Vision Transformer for Breast Cancer Classification
MSFNet-2SE: A multi-scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images
Natural k -plane coordinate reconstruction method for magnetic resonance imaging: Mathematical foundations
An efficient approach for brain image (tissue) compression based on the position of the brain tumor
Landmark-based multi-region ensemble convolutional neural networks for bone age assessment
Fuzzy inference based contextual dissimilarity histogram equalization algorithm for image enhancement
Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images
Measurement and analysis of nonexponential signal decay curves in brain diffusion and muscle relaxation magnetic resonance studies in humans
Multi-modal brain tumor image segmentation based on SDAE
Compton back-scattering imaging
Focused ultrasound brain stimulation to anesthetized rats induces long-term changes in somatosensory evoked potentials