| Classification of skin-cancer lesions based on fluorescence lifetime imaging P Vasanthakumari, RA Romano, RGT Rosa, AG Salvio, V Yakovlev, ... Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020 | 10 | 2020 |
| PMMA surface functionalization using atmospheric pressure plasma for development of plasmonically active polymer optical fiber probes P Vasanthakumari, Z Khosravi, VVR Sai, CP Klages Plasma Chemistry and Plasma Processing 36, 1067-1083, 2016 | 9 | 2016 |
| Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning P Vasanthakumari, RA Romano, RGT Rosa, AG Salvio, V Yakovlev, ... Journal of biomedical optics 27 (6), 066002-066002, 2022 | 5 | 2022 |
| Integration of computational docking into anti-cancer drug response prediction models O Narykov, Y Zhu, T Brettin, YA Evrard, A Partin, M Shukla, F Xia, A Clyde, ... Cancers 16 (1), 50, 2023 | 3 | 2023 |
| A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening P Vasanthakumari, Y Zhu, T Brettin, A Partin, M Shukla, F Xia, O Narykov, ... Cancers 16 (3), 530, 2024 | 2 | 2024 |
| AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging P Vasanthakumari, RA Romano, RGT Rosa, AG Salvio, V Yakovlev, ... Proc. SPIE 11934, Photonics in Dermatology and Plastic Surgery 2022 11934 …, 2022 | 2 | 2022 |
| SERS based sandwich immunosensing with plasmonically active plastic optical fiber sensor probes C Christopher, P Vasanthakumari, G Annasamy, A Subrahmanyam, ... Optical Sensors, SeW3E. 7, 2016 | 1 | 2016 |
| Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging P Vasanthakumari, RA Romano, RGT Rosa, AG Salvio, V Yakovlev, ... Biomedical Optics Express 15 (8), 4557-4583, 2024 | | 2024 |
| Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses T Feng, R Gnanaolivu, A Safikhani, Y Liu, J Jiang, N Chia, A Partin, ... arXiv preprint arXiv:2407.04486, 2024 | | 2024 |
| Data Imbalance in Drug Response Prediction-Multi-Objective Optimization Approach in Deep Learning Setting O Narykov, Y Zhu, T Brettin, YA Evrard, A Partin, F Xia, M Shukla, ... bioRxiv, 2024.03. 14.585074, 2024 | | 2024 |
| Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction O Narykov, Y Zhu, T Brettin, Y Evrard, A Partin, M Shukla, ... Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | | 2023 |
| Influencing factors on false positive rates when classifying tumor cell line response to drug treatment P Vasanthakumari, T Brettin, Y Zhu, H Yoo, M Shukla, A Partin, F Xia, ... arXiv preprint arXiv:2310.11329, 2023 | | 2023 |
| Systematic evaluation and comparison of drug response prediction models: a case study of prediction generalization across cell lines datasets A Partin, TS Brettin, Y Zhu, J Overbeek, O Narykov, P Vasanthakumari, ... Cancer Research 83 (7_Supplement), 5380-5380, 2023 | | 2023 |
| Machine-Learning Algorithms for Multispectral Autofluorescence Lifetime Imaging (maFLIM) Based Detection of Oral and Skin Cancer Lesions P Vasanthakumari | | 2022 |
| Classification of skin-cancer lesions based on Fluorescence Lifetime Imaging P Vasanthakumari, RA Romano, RGT Rosa, AG Salvio, V Yakovlev, ... MEDICAL IMAGING 2020: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND …, 2021 | | 2021 |
| Atmospheric-Pressure Plasma-Based Surface Functionalization for Development of Plasmonically Active Polymer Optical Fibers P Vasanthakumari, Z Khosravi, VVR Sai, CP Klages | | |
