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Plos One|April 7, 2023
Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization schemeRishav Pramanik, Bihan Banerjee, George Efimenko, et al.Plos One|May 31, 2024
DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound imagesPayel Pramanik, Ayush Roy, Erik Cuevas, et al.Sensors (Basel, Switzerland)|June 2, 2021
Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image FeaturesSoumya Deep Roy, Soham Das, Devroop Kar, et al.Biomedical Signal Processing and Control|July 20, 2022
COVID-19 chest X-ray detection through blending ensemble of CNN snapshotsAvinandan Banerjee, Arya Sarkar, Sayantan Roy, et al.Neural Computing & Applications|January 11, 2022
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-raysAshis Paul, Arpan Basu, Mufti Mahmud, et al.Medical & Biological Engineering & Computing|May 31, 2020
A two-stage approach towards protein secondary structure classificationKushal Kanti Ghosh, Soulib Ghosh, Sagnik Sen, et al.Neural Computing & Applications|April 21, 2021
Detection of COVID-19 from CT scan images: A spiking neural network-based approachAvishek Garain, Arpan Basu, Fabio Giampaolo, et al.Multimedia Tools and Applications|September 6, 2021
ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan imagesRohit Kundu, Pawan Kumar Singh, Massimiliano Ferrara, et al.IEEE Journal of Biomedical and Health Informatics|September 9, 2021
Choquet Integral and Coalition Game-Based Ensemble of Deep Learning Models for COVID-19 Screening From Chest X-Ray ImagesPratik Bhowal, Subhankar Sen, Jin Hee Yoon, et al.Diagnostics (Basel, Switzerland)|June 2, 2021
Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based ApproachYash Karbhari, Arpan Basu, Zong-Woo Geem, et al.Pageof 7