Cranial Implant Design Using V-Net Based Region of Interest Reconstruction. - Shashwat Pathak; Chitimireddy Sindhura; Rama Krishna Sai Subrahmanyam Gorthi; Degala Venkata Kiran; Subrahmanyam Gorthi (AutoImplant@MICCAI, 2021)

Efficient-PSP-Net: A Lightweight Model for the Segmentation of Liver and Tumor in CT Scans. - Chitimireddy Sindhura; Harsha Vardhan Reddy Vengama; Subrahmanyam Gorthi (ICVGIP, 2022)

A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages. - Prabhat Lankireddy; Chitimireddy Sindhura; Subrahmanyam Gorthi (MLMI@MICCAI, 2022)

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. - Jianning Li 002; David G. Ellis; Oldrich Kodym; Laurèl Rauschenbach; Christoph Rieß; Ulrich Sure; Karsten H. Wrede; Carlos M. Alvarez; Marek Wodzinski; Mateusz Daniol; Daria Hemmerling; Hamza Mahdi; et al. (Medical Image Anal., 2023)

SINO-CT-Fusion-Net: A Lightweight Deep Learning Framework for Detection and Classification of Intracranial Hemorrhages. - Chitimireddy Sindhura; Phaneendra K. Yalavarthy; Subrahmanyam Gorthi (ICIP, 2024)

Clinical knowledge aware synthesized CT image-based framework for improved detection and segmentation of hemorrhages. - Chitimireddy Sindhura; Subrahmanyam Gorthi (Pattern Recognit. Lett., 2025)