1. Hervé Abdi and Lynne J Williams . 2010. Principal component analysis . Wiley interdisciplinary reviews: computational statistics 2, 4 ( 2010 ), 433–459. Hervé Abdi and Lynne J Williams. 2010. Principal component analysis. Wiley interdisciplinary reviews: computational statistics 2, 4 (2010), 433–459.
2. Rhabdomyosarcoma Histology Classification using Ensemble of Deep Learning Networks
3. Saloni Agarwal , Mohamedelfatih Eltigani Osman Abaker, and Ovidiu Daescu . 2021 . Survival prediction based on histopathology imaging and clinical data: A novel, whole slide cnn approach. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part V 24. Springer , 762–771. Saloni Agarwal, Mohamedelfatih Eltigani Osman Abaker, and Ovidiu Daescu. 2021. Survival prediction based on histopathology imaging and clinical data: A novel, whole slide cnn approach. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part V 24. Springer, 762–771.
4. Tianqi Chen , Tong He , Michael Benesty , Vadim Khotilovich , Yuan Tang , Hyunsu Cho , Kailong Chen , Rory Mitchell , Ignacio Cano , Tianyi Zhou , 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 ( 2015 ), 1–4. Tianqi Chen, Tong He, Michael Benesty, Vadim Khotilovich, Yuan Tang, Hyunsu Cho, Kailong Chen, Rory Mitchell, Ignacio Cano, Tianyi Zhou, 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 (2015), 1–4.
5. Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis