Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets. - Adnan Ahmad; Srinjay Sarkar; Apurva Shah; Sonal Gore; Vani Santosh; Jitender Saini; Madhura Ingalhalikar (ISBI, 2019)

Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI. - Sonal Gore; Tanay Chougule; Jitender Saini; Madhura Ingalhalikar; Jayant Jagtap (MLCN/RNO-AI@MICCAI, 2020)

MRI based genomic analysis of glioma using three pathway deep convolutional neural network for IDH classification. - Sonal Gore; Jayant Jagtap (Turkish J. Electr. Eng. Comput. Sci., 2021)

Acute Lymphoblastic Leukemia Disease Detection Using Image Processing and Machine Learning. - Abhishek D. Chavan; Anuradha Thakre; Tulsi Vijay Chopade; Jessica Fernandes; Omkar S. Gawari; Sonal Gore (ICACDS (2), 2022)

IDH-Based Radiogenomic Characterization of Glioma Using Local Ternary Pattern Descriptor Integrated with Radiographic Features and Random Forest Classifier. - Sonal Gore; Jayant Jagtap (Int. J. Image Graph., 2022)

Radiogenomic analysis: 1p/19q codeletion based subtyping of low-grade glioma by analysing advanced biomedical texture descriptors. - Sonal Gore; Jayant Jagtap (J. King Saud Univ. Comput. Inf. Sci., 2022)

mUNET: glioma segmentation with delineation of tumour sub-regions using optimised architecture of UNET. - Sonal Gore; Jayant Jagtap (Int. J. Medical Eng. Informatics, 2024)