Search Results - sparse convolutional autoencoder (sage)

Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Authors: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju et al.

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3223. 33p.

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Authors: Zuev VA Salmagambetova EG Djakov SN et al.

Source: Journal of medical systems [J Med Syst] 2025 Oct 20; Vol. 49 (1), pp. 142. Date of Electronic Publication: 2025 Oct 20.

Publication Type: Journal Article; Review

Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

MeSH Terms: Electroencephalography*/methods , Epilepsy*/diagnosis , Epilepsy*/physiopathology , Video Recording*/methods, Humans ; Machine Learning

Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.

Authors: Zhang, Yu Chen, Zhe Sage

Source: Nature Biomedical Engineering; Aug2025, Vol. 9 Issue 8, p1186-1201, 16p

Hybrid graph-based models in medical decision support.

Authors: Bouslimi, Riadh Zitouni, Fatma Ben Smida, Takwa et al.

Source: Network Modeling & Analysis in Health Informatics & Bioinformatics; 12/4/2025, Vol. 14 Issue 1, p1-21, 21p

Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction.

Authors: Njeh I Mzoughi H Ben Slima M et al.

Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2021 Jan; Vol. 59 (1), pp. 85-106. Date of Electronic Publication: 2020 Nov 24.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

MeSH Terms: Image Processing, Computer-Assisted* , Magnetic Resonance Imaging*, Algorithms ; Brain/diagnostic imaging ; Humans ; Neural Networks, Computer

Deep Learning-Based Image Restoration and Super-Resolution for Fluorescence Microscopy: Overview and Resources.

Authors: Lohr D Meyer L Woelk LM et al.

Source: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2025; Vol. 2904, pp. 21-50.

Publication Type: Journal Article; Review

Journal Info: Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE

MeSH Terms: Deep Learning* , Image Processing, Computer-Assisted*/methods, Microscopy, Fluorescence/methods ; Humans ; Signal-To-Noise Ratio

Integrating multimodal cancer data using deep latent variable path modelling.

Authors: Ing, Alex Andrades, Alvaro Cosenza, Marco Raffaele et al.

Source: Nature Machine Intelligence; Jul2025, Vol. 7 Issue 7, p1053-1075, 23p

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.

Authors: Ahmed, Imtiaz Galoppo, Travis Hu, Xia et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2022, Vol. 44 Issue 8, p4110-4124, 15p

Subject Terms: ANOMALY detection (Computer security), GENERATIVE adversarial networks, EUCLIDEAN metric, GEODESIC distance, EUCLIDEAN distance, SPANNING trees, GEODESICS

The effect of feature extraction and data sampling on credit card fraud detection.

Authors: Salekshahrezaee, Zahra Leevy, Joffrey L. Khoshgoftaar, Taghi M.

Source: Journal of Big Data; 1/17/2023, Vol. 10 Issue 1, p1-17, 17p

Subject Terms: CREDIT card fraud, FEATURE extraction, FRAUD investigation, MACHINE learning, DATA extraction, SMART cards

Investigating Shape Variation Using Generalized Procrustes Analysis and Machine Learning.

Authors: Wöber, Wilfried Mehnen, Lars Curto, Manuel et al.

Source: Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 6, p3158, 26p

Subject Terms: MACHINE learning, DEEP learning, ARTIFICIAL intelligence, GAUSSIAN processes, OBJECT recognition (Computer vision), NILE tilapia

Enhancing Clinical Outcomes Using Deep Learning Solution for Accurate Lung Cancer Classification.

Authors: Shastri, Aditya Prajapati, Yash Katariya, Harsh et al.

Source: Sensing & Imaging; 2/7/2025, Vol. 26 Issue 1, p1-19, 19p

A Discussion Regarding The Function Of Computers In Online Criminal Investigation For Companies During Disasters And Cyber Crises: An Exhaustive Research.

Authors: Peng Jiny Midhunchakkaravarthy, Divya

Source: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p5334-5342, 9p

Subject Terms: DIGITAL forensics, CRIMINAL investigation, DATA recovery, CORPORATE governance, CYBERTERRORISM

Whole-slide imaging, tissue image analysis, and artificial intelligence in veterinary pathology: An updated introduction and review.

Authors: Zuraw, Aleksandra Aeffner, Famke

Source: Veterinary Pathology. Jan2022, Vol. 59 Issue 1, p6-25. 20p.

Machine learning in computational histopathology: Challenges and opportunities.

Authors: Cooper M Ji Z Krishnan RG

Source: Genes, chromosomes & cancer [Genes Chromosomes Cancer] 2023 Sep; Vol. 62 (9), pp. 540-556. Date of Electronic Publication: 2023 Jun 14.

Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9007329 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2264 (Electronic) Linking ISSN: 10452257 NLM ISO Abbreviation: Genes Chromosomes Cancer Subsets: MEDLINE

MeSH Terms: Machine Learning* , Neoplasms*/genetics , Neoplasms*/diagnosis, Humans

Cognitive workload estimation using physiological measures: a review.

Authors: Das Chakladar, Debashis Roy, Partha Pratim

Source: Cognitive Neurodynamics; Aug2024, Vol. 18 Issue 4, p1445-1465, 21p

Federated Multi-Label Learning (FMLL): Innovative Method for Classification Tasks in Animal Science.

Authors: Ghasemkhani, Bita Varliklar, Ozlem Dogan, Yunus et al.

Source: Animals (2076-2615); Jul2024, Vol. 14 Issue 14, p2021, 27p

Subject Terms: FEDERATED learning, ANIMAL classification, MACHINE learning, ANIMAL populations, TREE pruning

Accuracy of artificial intelligence for the detection of intracranial hemorrhage and chronic cerebral microbleeds: a systematic review and pooled analysis.

Authors: Matsoukas S Scaggiante J Schuldt BR et al.

Source: La Radiologia medica [Radiol Med] 2022 Oct; Vol. 127 (10), pp. 1106-1123. Date of Electronic Publication: 2022 Aug 13.

Publication Type: Journal Article; Systematic Review

Journal Info: Publisher: Springer Milan Country of Publication: Italy NLM ID: 0177625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1826-6983 (Electronic) Linking ISSN: 00338362 NLM ISO Abbreviation: Radiol Med Subsets: MEDLINE

MeSH Terms: Artificial Intelligence* , Cerebral Hemorrhage*/diagnostic imaging, Humans ; Intracranial Hemorrhages/diagnostic imaging ; Magnetic Resonance Imaging

Identifying optimal channels and features for multi-participant motor imagery experiments across a participant's multi-day multi-class EEG data.

Authors: Kaya, Esra Saritas, Ismail

Source: Cognitive Neurodynamics; Jun2024, Vol. 18 Issue 3, p987-1003, 17p

From pixels to insights: Machine learning and deep learning for bioimage analysis.

Authors: Jan M Spangaro A Lenartowicz M et al.

Source: BioEssays : news and reviews in molecular, cellular and developmental biology [Bioessays] 2024 Feb; Vol. 46 (2), pp. e2300114. Date of Electronic Publication: 2023 Dec 06.

Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8510851 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-1878 (Electronic) Linking ISSN: 02659247 NLM ISO Abbreviation: Bioessays Subsets: MEDLINE

MeSH Terms: Deep Learning*, Image Processing, Computer-Assisted/methods ; Microscopy, Fluorescence/methods ; Software ; Machine Learning

Non-endoscopic Applications of Machine Learning in Gastric Cancer: A Systematic Review.

Authors: Sy-Janairo, Marianne Linley L. Janairo, Jose Isagani B.

Source: Journal of Gastrointestinal Cancer; Mar2024, Vol. 55 Issue 1, p47-64, 18p