yusuke1997/dblp-id-title huggingface dataset:
3D-CNN based discrimination of schizophrenia using resting-state fMRI
Latency estimation of auditory brainstem response by neural networks
Subspace corrected relevance learning with application in neuroimaging
Using WordNet synonym substitution to enhance UMLS source integration
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks
Development of an intelligent surgical training system for Thoracentesis
Evaluation of glucose controllers in virtual environment: methodology and sample application
A novel method for automated EMG decomposition and MUAP classification
Septic shock prediction and knowledge discovery through temporal pattern mining
Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms
Dynamic and static approaches to clinical data mining
Exploring presentation methods for tomographic medical image viewing
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification
Cognitive computing technological trends and future research directions in healthcare - A systematic literature review
Lung cancer cell identification based on artificial neural network ensembles
Detecting depression through speech and text from casual talks with fully automated virtual humans
A new multiple regression approach for the construction of genetic regulatory networks
Automatic classification of HEp-2 specimens by explainable deep learning and Jensen-Shannon reliability index
An evolutionary artificial neural networks approach for breast cancer diagnosis
On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey
On strategic choices faced by large pharmaceutical laboratories and their effect on innovation risk under fuzzy conditions
BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications
Study on miR-384-5p activates TGF-β signaling pathway to promote neuronal damage in abutment nucleus of rats based on deep learning
Bayesian Network structure learning algorithm for highly missing and non imputable data: Application to breast cancer radiotherapy data
A growth model of human papillomavirus type 16 designed from cellular automata and agent-based models
Methodology and validity in the construction of computational models of cognitive deficits following brain damage
Selective voting in convex-hull ensembles improves classification accuracy
Skeletal scintigraphy image enhancement based neutrosophic sets and salp swarm algorithm
TRANSOFT: Medical translation expert system
Qualitative models in medical diagnosis
Automatic knowledge base refinement: learning from examples and deep knowledge in rheumatology
FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients
Texture feature ranking with relevance learning to classify interstitial lung disease patterns
Outcome quality assessment by surgical process compliance measures in laparoscopic surgery
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data
Interhemispheric effects on map organization following simulated cortical lesions
Lessons learnt from bringing knowledge-based decision support into routine use
AIM: a personal view of where I have been and where we might be going
An explainable three dimensional framework to uncover learning patterns: A unified look in variable sulci recognition
A semantic graph-based approach to biomedical summarisation
EKNN: Ensemble classifier incorporating connectivity and density into k NN with application to cancer diagnosis
Patterns for collaborative work in health care teams
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
Consistency enforcement in medical knowledge base construction
Seeking order in disorder: computational studies of neurologic and psychiatric diseases
Graphical knowledge acquisition for medical diagnostic expert systems
Fast density-peaks clustering for registration-free pediatric white matter tract analysis
An automated diagnostic system of polycystic ovary syndrome based on object growing
The Fuzzy Revolution: Goodbye to the Aristotelian Weltanschauung
Autonomous agents and multi-agent systems applied in healthcare
Spatiotemporal data visualisation for homecare monitoring of elderly people
Cancer informatics by prototype networks in mass spectrometry
Internet-based decision-support server for acute abdominal pain
Identification of signatures in biomedical spectra using domain knowledge
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports
Autonomous virtual mobile robot for three-dimensional medical image exploration: Application to micro-CT cochlear images
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features
Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection
A computer-aided diagnosis system for HEp-2 fluorescence intensity classification
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis
Learning from biomedical time series through the integration of qualitative models and fuzzy systems
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study
The interactive fuzzy linguistic term set and its application in multi-attribute decision making
Automated image label extraction from radiology reports - A review
Model-based diagnosis in intensive care monitoring: the YAQ approach
Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients
Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature
Knowledge-assisted recognition of cluster boundaries in gene expression data
A modular cluster based collaborative recommender system for cardiac patients
Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning
Enhancing stroke risk and prognostic timeframe assessment with deep learning and a broad range of retinal biomarkers
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit
Fundamentals of clinical methodology: 1. Differential indication
TIPs: Tooth instance and pulp segmentation based on hierarchical extraction and fusion of anatomical priors from cone-beam CT
A knowledge-based clinical toxicology consultant for diagnosing multiple exposures
Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapy
A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions
Decision support of inspired oxygen selection based on Bayesian learning of pulmonary gas exchange parameters
Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach
Prediction of body mass index status from voice signals based on machine learning for automated medical applications
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care
A cell-interacting and multi-correcting method for automatic circulating tumor cells detection
TSFNet: A Temporal-Spectral Fusion Network for advanced speech emotion recognition in medical applications
A review of statistical and machine learning methods for modeling cancer risk using structured clinical data
Detecting acute myocardial infarction in the 12-lead ECG using Hermite expansions and neural networks
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction
LoRA-PT: Low-rank adapting UNETR for hippocampus segmentation using principal tensor singular values and vectors
Modelling prognostic power of cardiac tests using rough sets
A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets
A reinforcement learning approach for finding optimal policy of adaptive radiation therapy considering uncertain tumor biological response
Sparse support vector machines with L 0 approximation for ultra-high dimensional omics data
Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction
Predicting dementia with routine care EMR data
DI++: A deep learning system for patient condition identification in clinical notes
Deep learning method for malaria parasite evaluation from microscopic blood smear
Improving vascular access creation among hemodialysis patients: An agent-based modeling and simulation approach
Entropy and complexity measures for EEG signal classification of schizophrenic and control participants
Extending the event calculus for tracking epidemic spread
Exploring fMRI data for periodic signal components
Fundamentals of clinical methodology - 4. Diagnosis
Enhanced SpO 2 estimation using explainable machine learning and neck photoplethysmography
Formalizing an electronic institution for the distribution of human tissues
Temporal matrix completion with locally linear latent factors for medical applications
Scalable approximate policies for Markov decision process models of hospital elective admissions
Ensemble methods for classification of patients for personalized medicine with high-dimensional data
Ophthalmic diagnosis using deep learning with fundus images - A critical review
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy-TOPSIS methods
Gesteme-free context-aware adaptation of robot behavior in human-robot cooperation
A support for decision-making: cost-sensitive learning system
Position of artificial intelligence in healthcare and future perspective
Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing
Reconstructing the patient's natural history from electronic health records
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health
A development environment for knowledge-based medical applications on the world-wide web
First, scale up to the robotic Turing test, then worry about feeling
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier
Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes
A hierarchical neural network algorithm for robust and automatic windowing of MR images
Certainty factor theory: Its probabilistic interpretations and problems
WeAidU - a decision support system for myocardial perfusion images using artificial neural networks
Advanced portable remote monitoring system for the regulation of treadmill running exercises
Representing knowledge in medical decision support systems
Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods
Midpoints for fuzzy sets and their application in medicine
Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods
Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series
Pattern identification of biomedical images with time series: Contrasting THz pulse imaging with DCE-MRIs
The Colorectal Cancer Recurrence Support (CARES) System
Representation of change in controlled medical terminologies
Electronic communication and collaboration in a health care practice
Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization
Probabilistic double hierarchy linguistic Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison method for multi-criteria group decision making and its application in a selection of traditional Chinese medicine prescriptions
Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes
Monitoring diseases with empirical and model-generated histories
An interoperable clinical decision-support system for early detection of SIRS in pediatric intensive care using openEHR
OphGLM: An ophthalmology large language-and-vision assistant
Fuzzy decision-making in electrocardiography
Premature ventricular contraction detection combining deep neural networks and rules inference
Model-based diagnosis in medicine
A Bayesian approach to generating tutorial hints in a collaborative medical problem-based learning system
Frequency-based boundary-guided attention network for domain generalizable polyp segmentation from colonoscopy images
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets
Improving the accuracy of suicide attempter classification
TSOANet: Time-Sensitive Orthogonal Attention Network for medical event prediction
A customisable framework for the assessment of therapies in the solution of therapy decision tasks
A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains
Midwifery learning and forecasting: Predicting content demand with user-generated logs
Advanced decision support system for individuals with diabetes on multiple daily injections therapy using reinforcement learning and nearest-neighbors: In-silico and clinical results
Leveraging artificial intelligence in advance care planning: A scoping review
Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data
Motor imagery EEG recognition with KNN-based smooth auto-encoder
Mining context-aware resource profiles in the presence of multitasking
On the use and usefulness of fuzzy sets in medical AI
Visual pattern mining in histology image collections using bag of features
Continual planning and scheduling for managing patient tests in hospital laboratories
Knowledge acquisition: James F. Brulé and Alexander Blount, McGraw Hill, New York/Hamburg, 1989. Xxvii + 253 pages, paperback, DM 75.33
Classifying cancer pathology reports with hierarchical self-attention networks
A manifesto on explainability for artificial intelligence in medicine
Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials
Artificial consciousness: Hazardous questions (and answers)
EvIdent(TM): a functional magnetic resonance image analysis system
Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network
GCLR: A self-supervised representation learning pretext task for glomerular filtration barrier segmentation in TEM images
An MLP-based feature subset selection for HIV-1 protease cleavage site analysis
Detection of protein complexes from multiple protein interaction networks using graph embedding
A contrast set mining based approach for cancer subtype analysis
Implementing tutoring strategies into a patient simulator for clinical reasoning learning
A smarter perspective: Learning with and from AI-cases
A genetic algorithm approach to multi-disorder diagnosis
Origins of the Arden Syntax
Pharmacological therapy selection of type 2 diabetes based on the SWARA and modified MULTIMOORA methods under a fuzzy environment
A de-identifier for medical discharge summaries
Axioms, properties and criteria: Roles for synthesis in the science of consciousness
Data mining techniques for cancer detection using serum proteomic profiling
Deep learning for automatic ICD coding: Review, opportunities and challenges
Comment on "Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning"
Probabilistic and decision-theoretic systems in medicine
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images
Conversational case-based reasoning in medical decision making
Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams
Estimation of respiratory parameters via fuzzy clustering
Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT
Qualitative Methods for Reasoning under Uncertainty - Simon Parsons (Ed.), MIT Press, Cambridge, MA/London, 2001, 514 pp., 50 illustrations, hardcover
Therapy planning and monitoring
Part-whole representation and reasoning in formal biomedical ontologies
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation
Disease diagnosis validation in TROPIX using CBR
Decoding the cortical responses to mechanical wrist perturbations: A two-step shared structure NARX method
On the analysis of single versus multiple channels of electromagnetic brain signals
Bayesian inference for model-based segmentation of computed radiographs of the hand
Evaluation of a medical diagnosis system using simulator test scenarios
NéoGanesh: a working system for the automated control of assisted ventilation in ICUs
Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach
A neural network approach to the diagnosis of morbidity outcomes in trauma care
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
A label information fused medical image report generation framework
ProDeM: A Process-Oriented Delphi Method for systematic asynchronous and consensual surgical process modelling
Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation
Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users
MMSupcon: An image fusion-based multi-modal supervised contrastive method for brain tumor diagnosis
Medical multimodal foundation models in clinical diagnosis and treatment: Applications, challenges, and future directions
Integration of data mining classification techniques and ensemble learning to identify risk factors and diagnose ovarian cancer recurrence
Fuzzy-DDI: A robust fuzzy logic query model for complex drug-drug interaction prediction
Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support
Asynchronous gaze-independent event-related potential-based brain-computer interface
Classification integration and reclassification using constraint databases
Case-based estimation of the risk of enterobiasis
Generalized aggregation index based collaborative fusion for medical diagnosis
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease
Boosting drug named entity recognition using an aggregate classifier
Predicting malaria interactome classifications from time-course transcriptomic data along the intraerythrocytic developmental cycle
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training
Integrative mining of traditional Chinese medicine literature and MEDLINE for functional gene networks
Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survival
A framework for building cooperative software agents in medical applications
Random survival forest with space extensions for censored data
Connectionist expert systems as medical decision aid
From black box to clarity: Strategies for effective AI informed consent in healthcare
Reshaping free-text radiology notes into structured reports with generative question answering transformers
Automatic detection of surgical haemorrhage using computer vision
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation
TEE4EHR: Transformer event encoder for better representation learning in electronic health records
An intelligent system for pacemaker reprogramming
Ovarian cancer diagnosis with complementary learning fuzzy neural network
A novel method for clinical risk prediction with low-quality data
Medical expert system user interface
Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment
Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department
Knowledge-based data analysis and interpretation
Abduction, Reason and Science: Processes of Discovery and Explanation - Lorenzo Magnani (Ed.), Kluwer Academic/Plenum Publishers, New York, 2001, ISBN 0-306-46514-0
Abductive localization of brain damage: incorporating spatial adjacency relations
Automated interviews on clinical case reports to elicit directed acyclic graphs
Quantitative computed tomography imaging classification of cement dust-exposed patients-based Kolmogorov-Arnold networks
Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans
On the quality of neural net classifiers
Syntactic reasoning and pattern recognition for analysis of coronary artery images
Robust feature selection to predict tumor treatment outcome
Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping
PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes
Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival
A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms
AIME 89: Jim Hunter, John Cookson, and Jeremy Wyatt (eds.), (Springer-Verlag, Berlin, 1989) X + 330 pp., softcover, DM 81.00
Methodological principles in medical knowledge programming: part I
Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation
Handbook of theoretical computer science : J. van Leeuwen, ed., Vol. A: Algorithms and Complexity, Vol. B: Formal Methods and Semantics (Elsevier, Amsterdam, 1990), 2296 pp., hardcover, Dfl. 555.00
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports
Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging
Vincenzo Tagliasco
Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks
The visual display of temporal information
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings
ConvLSNet: A lightweight architecture based on ConvLSTM model for the classification of pulmonary conditions using multichannel lung sound recordings