Automatic Segmentation of Organs-at-Risk in Thoracic Computed Tomography Images Using Ensembled U-Net InceptionV3 Model. - Malvika Ashok; Abhishek Gupta 005 (J. Comput. Biol., 2023)

HCIU: Hybrid clustered inception-based UNET for the automatic segmentation of organs at risk in thoracic computed tomography images. - Malvika Ashok; Abhishek Gupta 005; Mohit Pandey (Int. J. Imaging Syst. Technol., 2023)

A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19. - Baijnath Kaushik; Akshma Chadha; Abhigya Mahajan; Malvika Ashok (Eng. Appl. Artif. Intell., 2025)