yusuke1997/dblp-id-title huggingface dataset:
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals
Deep learning approaches for automated classification of neonatal lung ultrasound with assessment of human-to-AI interrater agreement
Analysis of binding kinetics and mass transport in SPR-based biosensor using the Generalized Integral Transform Technique and the Markov Chain Monte Carlo Method
A segmentation method for myocardial ischemia/infarction applicable in heart photos
Novel inhibitors to ADP ribose phosphatase of SARS-CoV-2 identified by structure-based high throughput virtual screening and molecular dynamics simulations
A genetic algorithm-based method to modulate the difficulty of serious games along consecutive robot-assisted therapy sessions
Artificial intelligence based liver portal tract region identification and quantification with transplant biopsy whole-slide images
A Decision Support System Based on multi-head convolutional and Recurrent Neural Networks for assisting physicians in diagnosing ADHD
Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems
CT perfusion parameter estimation in stroke using neural network with transformer and physical model priors
Spatiotemporal transfer of nitric oxide in patient-specific atherosclerotic carotid artery bifurcations with MRI and computational fluid dynamics modeling
OvaSpec - A vision-based instrument for assessing concentration and developmental stage of Trichuris suis parasite egg suspensions
Semi-supervised peripapillary atrophy segmentation with shape constraint
MindEdit: A P300-based text editor for mobile devices
Assessing the robustness of clinical trials by estimating Jadad's score using artificial intelligence approaches
Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test
A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images
Fast generation of T2 ⁎ maps in the entire range of clinical interest: Application to thalassemia major patients
Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations
Pancreas segmentation in CT scans: A novel MOMUNet based workflow
A model of ocular ambient irradiance at any head orientation
Translational suppression of SARS-COV-2 ORF8 protein mRNA as a Viable therapeutic target against COVID-19: Computational studies on potential roles of isolated compounds from Clerodendrum volubile leaves
A cluster attention-based multiple instance learning network for enhancing histopathological image interpretation
Application of omics beyond the central dogma in coronary heart disease research: A bibliometric study and literature review
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness
Computational particle-hemodynamics analysis and geometric reconstruction after carotid endarterectomy
EEG-based functional networks in schizophrenia
Quantifying instability in neurological disorders EEG based on phase space DTM function
Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning
Details of regional particle deposition and airflow structures in a realistic model of human tracheobronchial airways: two-phase flow simulation
Computational methods in the analysis of SARS-CoV-2 in mammals: A systematic review of the literature
Methamphetamine drug abuse and addiction: Effects on face asymmetry
In Memoriam: Blaire Volman Mossman (1950-2011)
Identification of cuproptosis-related lncRNAs with the significance in prognosis and immunotherapy of oral squamous cell carcinoma
Using positive and negative patterns to extract information from journal articles regarding the regulation of a target gene by a transcription factor
Sample size calculations when outcomes will be compared with an historical control
Combination of 2D and 3D nnU-Net for ground glass opacity segmentation in CT images of Post-COVID-19 patients
Lysosome-related biomarkers in preeclampsia and cancers: Machine learning and bioinformatics analysis
Micropolar pulsatile blood flow conveying nanoparticles in a stenotic tapered artery: NON-Newtonian pharmacodynamic simulation
A filter-level explainability framework for CNNs in histopathology image analysis
Passive fetal monitoring by adaptive wavelet denoising method
Depression detection based on linear and nonlinear speech features in I-vector/SVDA framework
Self-supervised deep learning for joint 3D low-dose PET/CT image denoising
Radiomic alterations and clinical correlates of hypothalamic nuclei in ALS
Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns
EEGProgress: A fast and lightweight progressive convolution architecture for EEG classification
Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model
Dual-channel neural network for instance segmentation of synapse
Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching
A blockchain-based federated learning mechanism for privacy preservation of healthcare IoT data
Methodological considerations in calculating heart rate variability based on wearable device heart rate samples
Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches
Revealing pathway maps of renal cell carcinoma by gene expression change
Transient modelling of impact driven needle-free injectors
VF-Pred: Predicting virulence factor using sequence alignment percentage and ensemble learning models
Semantic segmentation in skin surface microscopic images with artifacts removal
In silico development of potential therapeutic for the pain treatment by inhibiting voltage-gated sodium channel 1.7
Robust and explainable framework to address data scarcity in diagnostic imaging
The curvature function evolved in scale-space as a representation of biological shapes
Bone and soft tissue changes associated with a removable partial denture. A novel method with a fusion of CBCT and optical 3D images
Leveraging few-shot learning and large language models for analyzing blood pressure variations across biological sex from scientific literature
Automatic media-adventitia IVUS image segmentation based on sparse representation framework and dynamic directional active contour model
Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter
A lightweight approach based on cross-modality for depression detection
Exploring phytochemical inhibitors of fatty acid elongase ELOVL6 for targeted treatment of chronic myeloid leukemia: A comprehensive network-based drug discovery approach
Lightweight triangular mesh deformable reconstruction for low quality 3D organ models: Thickness noise and uneven topology
Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection
Audio-based detection and evaluation of eating behavior using the smartwatch platform
A novel speech signal feature extraction technique to detect speech impairment in children accurately
A simulation model of the surface EMG signal for analysis of muscle activity during the gait cycle
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques
LD-UNet: A long-distance perceptual model for segmentation of blurred boundaries in medical images
A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach
Design and properties of biomimetic irregular scaffolds for bone tissue engineering
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0
Fusion prior gene network for high reliable single-cell gene regulatory network inference
Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc
Effects of left atrium on intraventricular flow in numerical simulations
CRAUNet: A cascaded residual attention U-Net for retinal vessel segmentation
Diagnostic Test Accuracy of artificial intelligence-assisted detection of acute coronary syndrome: A systematic review and meta-analysis
Refining LLMs outputs with iterative consensus ensemble (ICE)
A dimensional retrieval model for integrating semantics and statistical evidence in context for genomics literature search
Unbiased molecular dynamics simulation of a first-in-class small molecule inhibitor binds to oncostatin M
Multiple color representation and fusion for diabetes mellitus diagnosis based on back tongue images
A smart virtual glove for the hand telerehabilitation
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images
CT synthesis from multi-sequence MRI using adaptive fusion network
Automatic segmentation of lung nodules with growing neural gas and support vector machine
Statistical correlations and risk analyses techniques for a diving dual phase bubble model and data bank using massively parallel supercomputers
Machine learning-based radiomics for predicting outcomes in cervical cancer patients undergoing concurrent chemoradiotherapy
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
Modeling of joint extraction of entity relationships in clinical electronic medical records
On the use of pseudo-spectral method in model reduction and simulation of active dendrites
QSAR modeling and pharmacoinformatics of SARS coronavirus 3C-like protease inhibitors
ADDI: Recommending alternatives for drug-drug interactions with negative health effects
Comparison of three classifiers in detection of obstruction of the lower urinary tract using recorded sounds of voiding
Real-time brain tumor detection in intraoperative ultrasound: From model training to deployment in the operating room
ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions
Semi-supervised region-connectivity-based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image
Modeling biological growth of human keratoconus: On the effect of tissue degradation, location and size
Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN
Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach
Comparison of Methods for Differential Co-expression Analysis for Disease Biomarker Prediction
Generation of digital time database from paper ECG records and Fourier transform-based analysis for disease identification
Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities
Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules
Designing new hit series of JAK3 inhibitors using generative AI, reinforcement learning, and molecular dynamics
Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF
Early stroke diagnosis and evaluation based on pathological voice classification using speech enhancement
A multimodal deep learning model for cervical pre-cancers and cancers prediction: Development and internal validation study
Modeling schizophrenic-like neuronal patterns using nonlinear delayed differential equations
Screening for cancer associated MiRNAs through co-gene, co-function and co-pathway analysis
Quantifying the influence of combined lung and kidney support using a cardiovascular model and sensitivity analysis-informed parameter identification
A novel self-learning framework for bladder cancer grading using histopathological images
An effective framework for predicting drug-drug interactions based on molecular substructures and knowledge graph neural network
Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images
Identification of the key DNA damage response genes for predicting immunotherapy and chemotherapy efficacy in lung adenocarcinoma based on bulk, single-cell RNA sequencing, and spatial transcriptomics
Apparent growth tensor of left ventricular post myocardial infarction - In human first natural history study
A critical review of machine-learning for "multi-omics" marine metabolite datasets
New combined Inverse-QSAR and molecular docking method for scaffold-based drug discovery
An efficient framework for lesion segmentation in ultrasound images using global adversarial learning and region-invariant loss
UC-Mamba: Adaptive Cross-Level Fusion Network With 2D-Selective Foveal Scanning and Channel-Gated Linear Unit for Ulcerative Colitis Evaluation
Diabetic retinopathy detection from fundus images: A wide survey from grading to segmentation of lesions
Classification and regression of stenosis using an in-vitro pulse wave data set: Dependence on heart rate, waveform and location
Simple and complex reaction time measurement: A preliminary evaluation of new approach and diagnostic tool
ECG signal denoising and baseline wander correction based on the empirical mode decomposition
Virtual patient model for evaluating automated inspired oxygen control
Musculoskeletal model predictions sensitivity to upper body mass scaling during gait
Fuzzy mutual information based grouping and new fitness function for PSO in selection of miRNAs in cancer
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit
Fusing CNNs and attention-mechanisms to improve real-time indoor Human Activity Recognition for classifying home-based physical rehabilitation exercises
Automatic tracking of healthy joint kinematics from stereo-radiography sequences
A stochastic model of tumor angiogenesis
Structural connectivity predicts the amelioration of postoperative rapid eye movement sleep behavior disorder in Parkinson's disease patients who underwent subthalamic nucleus-deep brain stimulation
Multiple algorithms highlight key brain genes driven by multiple anesthetics
Real-time apnea-hypopnea event detection during sleep by convolutional neural networks
CancerNet: A comprehensive deep learning framework for precise and intelligible cancer identification
The impact of PTEN status on glioblastoma multiforme: A glial cell type-specific study identifies unique prognostic markers
Static-Dynamic coordinated Transformer for Tumor Longitudinal Growth Prediction
Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets
A Lack of statistical pitfalls in the comparison of multivariate causality measures for effective causality
Novel interpretable Feature set extraction and classification for accurate atrial fibrillation detection from ECGs
Computer analysis of multichannel ECG
Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs
SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes
Electroencephalogram analysis using fast wavelet transform
The potential of prostate gland radiomic features in identifying the Gleason score
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment
Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering
Deep wavelet scattering orthogonal fusion network for glioma IDH mutation status prediction
Computational profiling of molecular biomarkers in congenital disorders of glycosylation Type-I and binding analysis of Ginkgolide A with P4HB
An effective fovea detection and automatic assessment of diabetic maculopathy in color fundus images
Integrated diagnosis of glioma based on magnetic resonance images with incomplete ground truth labels
Classification method for nailfold capillary images using an optimized sugeno fuzzy ensemble of convolutional neural networks
An appraisal of the performance of AI tools for chronic stroke lesion segmentation
Estimation of saline-mixed tissue conductivity and ablation lesion size
Establishing central sensitization inventory cut-off values in Dutch-speaking patients with chronic low back pain by unsupervised machine learning
A hybrid frequency-spatial domain unsupervised denoising model for Gaussian-Poisson mixed noise in medical imaging
Segmentation of endothelial cells of the cornea from the distance map of confocal microscope images
Adaptive image inversion of contrast 3D echocardiography for enabling automated analysis
Simulation of the process of angiogenesis: Quantification and assessment of vascular patterning in the chicken chorioallantoic membrane
Identification of QRS complex in non-stationary electrocardiogram of sick infants
CorNet: Autonomous feature learning in raw Corvis ST data for keratoconus diagnosis via residual CNN approach
Computer-aided drug repurposing to tackle antibiotic resistance based on topological data analysis
Drug toxicity prediction model based on enhanced graph neural network
Hypersampling of pseudo-periodic signals by analytic phase projection
A multimodal biomarker for concussion identification, prognosis and management
Direction selectivity of simple cells in the primary visual cortex: Comparison of two alternative mathematical models. II: Velocity tuning and response to moving bars
Biomechanical analysis of cervical spine sagittal stiffness characteristics
A bidirectional registration neural network for cardiac motion tracking using cine MRI images
Fuzzy logic based anaesthesia monitoring systems for the detection of absolute hypovolaemia
Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders
An in-depth in silico and immunoinformatics approach for designing a potential multi-epitope construct for the effective development of vaccine to combat against SARS-CoV-2 encompassing variants of concern and interest
Accurate confidence intervals for binomial proportion and Poisson rate estimation
Knowledge-based femur detection in conventional radiographs of the pelvis
An audio processing pipeline for acquiring diagnostic quality heart sounds via mobile phone
A progressive framework for tooth and substructure segmentation from cone-beam CT images
Unsupervised learning of depth estimation from imperfect rectified stereo laparoscopic images
Multi-scale perceptual YOLO for automatic detection of clue cells and trichomonas in fluorescence microscopic images
Associations between changes in loading pattern, deformity, and internal stresses at the foot with hammer toe during walking; a finite element approach
Sensitivity of subject-specific upper body musculoskeletal model predictions to mass scaling methods
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network
Support vector machine algorithms in the search of KIR gene associations with disease
Time-based self-supervised learning for Wireless Capsule Endoscopy
Virtual liver needle biopsy from reconstructed three-dimensional histopathological images: Quantification of sampling error
Research on detection method of bleeding point in two-dimensional DSA image based on parametric color imaging
ACU2E-Net: A novel predict-refine attention network for segmentation of soft-tissue structures in ultrasound images
An efficient framework for automated screening of Clinically Significant Macular Edema
Pharmacophore-based virtual screening, 3D QSAR, Docking, ADMET, and MD simulation studies: An in silico perspective for the identification of new potential HDAC3 inhibitors
Automatic liver vessel segmentation using 3D region growing and hybrid active contour model
Capacitive stimulation-sensing system for instrumented bone implants: Finite element model to predict the electric stimuli delivered to the interface
Shape of the left ventricle and its computer modelling
Molecular dynamics study on the behavior and binding mechanism of target protein Transgelin-2 with its agonist TSG12 for anti-asthma drug discovery
SURVS: A Swin-Unet and game theory-based unsupervised segmentation method for retinal vessel
Multi-modal fusion network with intra- and inter-modality attention for prognosis prediction in breast cancer
Insights into the suitability of utilizing brown rats ( Rattus norvegicus ) as a model for healing spinal cord injury with epidermal growth factor and fibroblast growth factor-II by predicting protein-protein interactions
Highly deleterious variations in COX1, CYTB, SCG5, FK2, PRL and PGF genes are the potential adaptation of the immigrated African ostrich population
Developing federated time-to-event scores using heterogeneous real-world survival data
A Bayesian Belief Network model for the estimation of risk of cardiovascular events in subjects with type 1 diabetes
The attractor recurrent neural network based on fuzzy functions: An effective model for the classification of lung abnormalities
Identification and evaluation of immunogenic MHC-I and MHC-II binding peptides from Mycobacterium tuberculosis
A bibliometric analysis of diffuse large B-cell lymphoma research from 2001 to 2020
Gallbladder shape extraction from ultrasound images using active contour models
Tetrahedral node for Transmission-Line Modeling (TLM) applied to Bio-heat Transfer
Multi-lesion segmentation guided deep attention network for automated detection of diabetic retinopathy
ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposing
Thermal analysis of a three-dimensional breast model with embedded tumour using the transmission line matrix (TLM) method
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction
Shuffled ECA-Net for stress detection from multimodal wearable sensor data
Joint high-resolution feature learning and vessel-shape aware convolutions for efficient vessel segmentation
Estimating contrast agent motion from ultrasound images using an anisotropic diffusion-based optical flow technique
Development and multi-level validation of a computational model to predict traumatic aortic injury
A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices
Semantic uncertainty Guided Cross-Transformer for enhanced macular edema segmentation in OCT images
The incremental burden of invasive pneumococcal disease associated with a decline in childhood vaccination using a dynamic transmission model in Japan: A secondary impact of COVID-19
Impact of BA.1, BA.2, and BA.4/BA.5 Omicron mutations on therapeutic monoclonal antibodies
An in-silico study to identify potent phytochemicals for reducing neurotoxicity triggered by calpain and CDK5/p25 complex
Structural basis of Omicron immune evasion: A comparative computational study
Quantitative analysis of collagen fiber angle in the submucosa of small intestine
Dynamic changes in spatiotemporal transcriptome reveal maternal immune dysregulation of autism spectrum disorder
An efficient neural network based method for medical image segmentation