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).

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