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Harshitha Jagarlamudi
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Journal Articles

Deep learning architecture, EfficientNetB1, excels in accurate diagnosis and prognosis of acute lymphoblastic leukemia through intelligent computer vision

Free
Snigdha Mandava, Ramya Elangovan, Jansi Sethuraj, Elangovan Krishnan, Kavin Elangovan, Gowrishankar Palaniswamy, Saifullah Syed, Mohammad Arfat Ganiyani, Harshitha Jagarlamudi
Journal: Blood
Blood (2025) 146 (Supplement 1): 552.
https://doi.org/10.1182/blood-2025-552
Published: 2025
Journal Articles

AI-powered leukemia intelligent virtual examiner (LIVE) for rapid and accurate diagnosis of acute lymphoblastic leukemia

Free
Gowrishankar Palaniswamy, Ramya Elangovan, Jansi Sethuraj, Elangovan Krishnan, Kavin Elangovan, Harshitha Jagarlamudi, Mohammad Arfat Ganiyani, Saifullah Syed, Snigdha Mandava
Journal: Blood
Blood (2025) 146 (Supplement 1): 7866.
https://doi.org/10.1182/blood-2025-7866
Published: 2025
Journal Articles

Automated classification of acute lymphoblastic leukemia in peripheral blood smears using a convoluted neural network, ResNet18 model

Free
Harshitha Jagarlamudi, Ramya Elangovan, Jansi Sethuraj, Elangovan Krishnan, Kavin Elangovan, Snigdha Mandava, Mohammad Arfat Ganiyani, Saifullah Syed, Gowrishankar Palaniswamy
Journal: Blood
Blood (2025) 146 (Supplement 1): 4559.
https://doi.org/10.1182/blood-2025-4559
Published: 2025
Journal Articles

A universally accessible residual Network–Assisted diagnostic and analytic tool (RADIANT) for acute lymphoblastic leukemia

Free
Jansi Sethuraj, Ramya Elangovan, Gowrishankar Palaniswamy, Kavin Elangovan, Harshitha Jagarlamudi, Snigdha Mandava, Mohammad Arfat Ganiyani, Saifullah Syed, Elangovan Krishnan
Journal: Blood
Blood (2025) 146 (Supplement 1): 6142.
https://doi.org/10.1182/blood-2025-6142
Published: 2025