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original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2025―Nov―16 |
Versatile DeepFusion Classifier (VFC) for COVID-19 Detection in X-Ray and CT Images with Optimised RCNN-Based Segmentation |
Mairembam Stelin Singh N.A. |
| 2 |
[GO] |
2025―May―24 |
LeNet-Xception: an advanced deep learning model for early COVID-19 detection from CT scan images |
Kunte Noor Fathima, Renukalatha Shivrudraiah |
| 3 |
[GO] |
2025―Jan―22 |
A comparative study on the classification of SARS-CoV-2 variants from biosequence images using pre-trained deep learning models |
K. Shahina, C.L. Biji, Achuthsankar S. Nair |
| 4 |
[GO] |
2024―Aug―11 |
LeNet-Xception: An Advanced Deep Learning Model for Early Covid-19 Detection from CT Scan Images |
Renukalatha S, Noor Fathima K |
| 5 |
[GO] |
2024―Jul―13 |
A Comparative Study on the Classification of SARS-CoV-2 Variants from Biosequence Images using Pre-Trained Deep Learning Models |
Achuthsankar S. Nair, Biji C. L, Shahina K |
| 6 |
[GO] |
2024―Mar―15 |
Codon usage in conserved sites is more biased compared to variable sites in the SARS-CoV-2 genome |
Madhusmita Dash, Annushree Kurmi, Preetisudha Meher, Siddhartha Sankar Satapathy, Nima D. Namsa |
| 7 |
[GO] |
2023―Dec―07 |
Detection and classification of COVID-19 using supervised deep learning on MRI images |
J. Chinna Babu, Mudassir Khan, Mallikharjuna Rao Nuka, C.H. Nagaraju |
| 8 |
[GO] |
2023―Nov―27 |
Codon usage in conserved sites is more biased compared to variable sites in the SARS-CoV-2 genome |
Nima D. Namsa, Siddhartha Satapathy, Preetisudha Meher, Annushree Kurmi, Madhusmita Dash |
| 9 |
[GO] |
2023―Sep―21 |
Detection and Classification of COVID-19 using Supervised Deep Learning on MRI Images |
Ch. Nagaraju, Mudassir Khan, Mallikharjuna Rao Nuka, Chinna Babu Jyothi |
| 10 |
[GO] |
2023―Aug―01 |
COVID-19 prediction using AI deep VGG16 model from X-ray images |
Narenthirakumar Appavu, C. Nelsonkennedybabu |
| 11 |
[GO] |
2023―Jul―09 |
COVID-19 Prediction using AI Deep VGG16 Model from X-ray Images |
NARENTHIRAKUMAR APPAVU |
