P. K. Vinod

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Multiple Instance

Machine Learning Models

Computer Aided Diagnosis

Top Venues

Comput. Biol. Medicine

Publications

Ekansh Chauhan, Amit Sharma, Megha S. Uppin, C. V. Jawahar, P. K. Vinod
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study. CoRR (2024)
Pindi Krishna Chandra Prasad, Yash Khare, Kamalaker Dadi, P. K. Vinod, Bapi Raju Surampudi
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. IJCNN (2022)
Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. IJCNN (2022)
Kushal Borkar, Anusha Chaturvedi, P. K. Vinod, Raju Surampudi Bapi
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI. Frontiers Comput. Neurosci. 16 (2022)
Viraj Bagal, Rishal Aggarwal, P. K. Vinod, U. Deva Priyakumar
MolGPT: Molecular Generation Using a Transformer-Decoder Model. J. Chem. Inf. Model. 62 (9) (2022)
Ruchi Chauhan, P. K. Vinod, C. V. Jawahar
Exploring Genetic-histologic Relationships in Breast Cancer. ISBI (2021)
Akash Gupta, Anirudh Reddy, C. V. Jawahar, P. K. Vinod
Classification of histopathology images using ConvNets to detect Lupus Nephritis. CoRR (2021)
Ruchi Chauhan, P. K. Vinod, C. V. Jawahar
Exploring Genetic-histologic Relationships in Breast Cancer. CoRR (2021)
Ashish Menon, Piyush Singh, P. K. Vinod, C. V. Jawahar
Interactive Learning for Assisting Whole Slide Image Annotation. ACPR (2) (2021)
S. T. R. Moolamalla, P. K. Vinod
Genome-scale metabolic modelling predicts biomarkers and therapeutic targets for neuropsychiatric disorders. Comput. Biol. Medicine 125 (2020)
Noor Pratap Singh, Raju S. Bapi, P. K. Vinod
Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma. Comput. Biol. Medicine 100 (2018)