Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Debangshu Dey

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Biomedical Physics & Engineering Express|December 2, 2024
Digital Twin for EEG seizure prediction using time reassigned Multisynchrosqueezing transform-based CNN-BiLSTM-Attention mechanism modelAntara Ghosh, Debangshu Dey
IEEE Transactions on Bio-Medical Engineering|September 24, 2013
Real-Time Adaptive Apnea and Hypopnea Event Detection Methodology for Portable Sleep Apnea Monitoring DevicesBijoy Laxmi Koley, Debangshu Dey
Computer Methods and Programs in Biomedicine|August 17, 2019
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classificationSaptarshi Chatterjee, Debangshu Dey, Sugata Munshi
IEEE Journal of Biomedical and Health Informatics|January 10, 2014
On-line detection of apnea/hypopnea events using SpO2 signal: a rule-based approach employing binary classifier modelsBijoy Laxmi Koley, Debangshu Dey
Biomedical Engineering Letters|January 4, 2019
Obstructive sleep apnoea detection using convolutional neural network based deep learning frameworkDebangshu Dey, Sayanti Chaudhuri, Sugata Munshi
Journal of Digital Imaging|January 31, 2020
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive ReviewAmitava Halder, Debangshu Dey, Anup K Sadhu
Computer Methods and Programs in Biomedicine|September 3, 2020
An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT imageAmitava Halder, Saptarshi Chatterjee, Debangshu Dey, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Biomedical Physics & Engineering Express|December 2, 2024
Digital Twin for EEG seizure prediction using time reassigned Multisynchrosqueezing transform-based CNN-BiLSTM-Attention mechanism modelAntara Ghosh, Debangshu Dey
IEEE Transactions on Bio-Medical Engineering|September 24, 2013
Real-Time Adaptive Apnea and Hypopnea Event Detection Methodology for Portable Sleep Apnea Monitoring DevicesBijoy Laxmi Koley, Debangshu Dey
Computer Methods and Programs in Biomedicine|August 17, 2019
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classificationSaptarshi Chatterjee, Debangshu Dey, Sugata Munshi
IEEE Journal of Biomedical and Health Informatics|January 10, 2014
On-line detection of apnea/hypopnea events using SpO2 signal: a rule-based approach employing binary classifier modelsBijoy Laxmi Koley, Debangshu Dey
Biomedical Engineering Letters|January 4, 2019
Obstructive sleep apnoea detection using convolutional neural network based deep learning frameworkDebangshu Dey, Sayanti Chaudhuri, Sugata Munshi
Journal of Digital Imaging|January 31, 2020
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive ReviewAmitava Halder, Debangshu Dey, Anup K Sadhu
Computer Methods and Programs in Biomedicine|September 3, 2020
An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT imageAmitava Halder, Saptarshi Chatterjee, Debangshu Dey, et al.
Pageof 1