The article, “Anam-Net : Anamorphic Depth Embedding based Light-Weight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images” by Paluru, Naveen; Dayal, Aveen; Jenssen, Havard ; Sakinis, Tomas; Cenkeramaddi, Linga Reddy; Prakash, Jaya; Yalavarthy, Phaneendra, has been accepted for publication as a [Fast Track: COVID-19 Focused Papers] in the IEEE Transactions on Neural Networks and Learning Systems.

Naveen Paluru, Aveen Dayal, Havard B. Jenssen, Tomas Sakinis, Linga R. Cenkeramaddi, Jaya Prakash, and Phaneendra K. Yalavarthy, “Anam-Net : Anamorphic Depth Embedding based Light-Weight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images,” IEEE Transactions on Neural Networks and Learning Systems (Fast Track: COVID-19 Focused Papers) 2021 (in press).

The article “Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures” has been accepted for publication in MDPI Electronics.

A. Dayal, N. Paluru, L. R. Cenkeramaddi, S. J., and P. K. Yalavarthy, “Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures,” MDPI Electronics (Artificial Intelligence Circuits and Systems (AICAS)), vol. 10, no. 2, p. 182, Jan. 2021.