Search Results - "Hosseini-Nejad H"

A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems.

Authors: Ahmadi-Dastgerdi N Hosseini-Nejad H Alinejad-Rokny H

Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2025 Jul; Vol. 63 (7), pp. 2047-2056. Date of Electronic Publication: 2025 Feb 08.

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

Frequency informed convolutional autoencoder for in situ anomaly detection in wire arc additive manufacturing.

Authors: Mattera, Giulio Vozza, Mario Polden, Joseph et al.

Source: Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5819-5834, 16p

An innovative approach harmonizing convolution and self-attention to enhance EEG-based seizure detection.

Authors: Cherian, Resmi Grace Mary Kanaga, E.

Source: Neural Computing & Applications; Jul2025, Vol. 37 Issue 21, p16505-16526, 22p

Transfer learning based epileptic seizure classification using scalogram images of EEG signals.

Authors: Pattnaik, Sasweta Rao, B. Nageswara Rout, Nirmal Kumar et al.

Source: Multimedia Tools & Applications; Nov2024, Vol. 83 Issue 36, p84179-84193, 15p

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020).

Authors: Alizadehsani, Roohallah Roshanzamir, Mohamad Hussain, Sadiq et al.

Source: Annals of Operations Research; Aug2024, Vol. 339 Issue 3, p1077-1118, 42p

Towards Interpretable Seizure Detection: An Excitation/Inhibition Dynamic Polynomial Network Framework for Electroencephalography.

Authors: Sun, Xihan Yan, Ying Liu, Na et al.

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3488. 25p.

Automated detection of mental disorders using physiological signals and machine learning: A systematic review and scientometric analysis.

Authors: Singh, Jaiteg Sharma, Deepika

Source: Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 29, p73329-73361, 33p

Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review.

Authors: Handa, Palak Lavanya Goel, Nidhi et al.

Source: Artificial Intelligence Review; Jul2024, Vol. 57 Issue 7, p1-66, 66p

Multiscale Hjorth Descriptor on Epileptic EEG Classification.

Authors: Rizal, Achmad Hadiyoso, Sugondo Aulia, Suci et al.

Source: Journal of Electrical & Computer Engineering; 12/12/2023, p1-11, 11p

One hundred years of neurosciences in the arts and humanities, a bibliometric review.

Authors: Cebral-Loureda, Manuel Sanabria-Z, Jorge Ramírez-Moreno, Mauricio A. et al.

Source: Philosophy, Ethics & Humanities in Medicine. 11/9/2023, Vol. 18 Issue 1, p1-13. 13p.

A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets.

Authors: Handa, Palak Gupta, Esha Muskan, Satya et al.

Source: Expert Systems; Nov2023, Vol. 40 Issue 9, p1-30, 30p

Parameterized Multimodal Feature Fusion for Explainable Seizure Detection Using PCA and SHAP.

Authors: Khalid, Abdul-Mumin Sulemana, Musah Iddrisu, Wahab Abdul

Source: AppliedMath. Mar2026, Vol. 6 Issue 3, p49. 23p.

A Method for Explainable Epileptic Seizure Detection Through Wavelet Transforms Obtained by Electroencephalogram-Based Audio Recordings.

Authors: Tavolato, Paul Schölnast, Hubert Eigner, Oliver et al.

Source: Sensors (14248220). Jan2026, Vol. 26 Issue 1, p237. 19p.

Near-Real-Time Epileptic Seizure Detection with Reduced EEG Electrodes: A BiLSTM-Wavelet Approach on the EPILEPSIAE Dataset.

Authors: Afsari, Kiyan El Barachi, May Ritz, Christian

Source: Brain Sciences (2076-3425). Jan2026, Vol. 16 Issue 1, p119. 21p.

Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients.

Authors: Shafiezadeh, Sina Duma, Gian Marco Mento, Giovanni et al.

Source: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 7, p4262, 12p

Automatic Seizure Detection Using Multi-Input Deep Feature Learning Networks for EEG Signals.

Authors: Sun, Qi Liu, Yuanjian Li, Shuangde

Source: Journal of Sensors; 2/5/2024, p1-15, 15p

Shot boundary detection using multimodal Siamese network.

Authors: Mohamed, Bouyahi Yassine, Ben Ayed

Source: Multimedia Tools & Applications; Jan2024, Vol. 83 Issue 2, p5055-5078, 24p

Epileptic Seizure Detection Using Hyperdimensional Computing and Binary Naive Bayes Classifier.

Authors: Huang, Xindi Meng, Hongying Li, Zhangyong

Source: Bioengineering (Basel). Dec2025, Vol. 12 Issue 12, p1327. 14p.

Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review.

Authors: Bhosale, Yogesh H. Patnaik, K. Sridhar

Source: Multimedia Tools & Applications; Oct2023, Vol. 82 Issue 25, p39157-39210, 54p

An overview of machine learning methods in enabling IoMT-based epileptic seizure detection.

Authors: Al-hajjar, Alaa Lateef Noor Al-Qurabat, Ali Kadhum M.

Source: Journal of Supercomputing; Sep2023, Vol. 79 Issue 14, p16017-16064, 48p