Multi-modal advanced deep learning architectures for breast cancer survival prediction. - Nikhilanand Arya; Sriparna Saha 001 (Knowl. Based Syst., 2021)

Efficient-Nets and Their Fuzzy Ensemble: An Approach for Skin Cancer Classification. - Dibyendu Das; Nikhilanand Arya; Sriparna Saha 001 (ICONIP (7), 2022)

A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis. - Susmita Palmal; Nikhilanand Arya; Sriparna Saha 001; Somanath Tripathy (ICONIP (7), 2022)

Multi-Modal Classification for Human Breast Cancer Prognosis Prediction: Proposal of Deep-Learning Based Stacked Ensemble Model. - Nikhilanand Arya; Sriparna Saha 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP. - Nikhilanand Arya; Sriparna Saha 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework. - Nikhilanand Arya; Kwanit Gupta; Sriparna Saha 001 (EMBC, 2023)

Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. - Nikhilanand Arya; Archana Mathur; Snehanshu Saha; Sriparna Saha 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest. - Susmita Palmal; Nikhilanand Arya; Sriparna Saha 001; Somanath Tripathy (Appl. Soft Comput., 2024)