A deep learning assisted image-guided framework for differentiation among tumors and hemorrhages in head imaging. - Payal Malik; Ankit Vidyarthi (Comput. Electr. Eng., 2022)

Impact Of Backbone Architectures And Loss Functions On U-Net Models For Brain Tumor Segmentation: A Comparative Analysis. - Manik Sabharwal; Aman Sinha; Dhruv Gupta; Payal Malik (IC3, 2023)

Enhancing Intracranial Hemorrhage Diagnosis through Deep Learning Models. - Payal Malik; Ajay Dureja; Aman Dureja; Rajkumar Singh Rathore; Nisha Malhotra (ICMLDE, 2023)

Stacked deep model-based classification of the multiclass brain hemorrhages in CT scans. - Payal Malik; Ankit Vidyarthi (Int. J. Imaging Syst. Technol., 2024)