| Deep neural networks: A case study for music genre classification AR Rajanna, K Aryafar, A Shokoufandeh, R Ptucha 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 63 | 2015 |
| Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology G Campanella, AR Rajanna, L Corsale, PJ Schüffler, Y Yagi, TJ Fuchs Computerized medical imaging and graphics 65, 142-151, 2018 | 61 | 2018 |
| Prostate cancer detection using photoacoustic imaging and deep learning AR Rajanna, R Ptucha, S Sinha, B Chinni, V Dogra, NA Rao Electronic Imaging 28, 1-6, 2016 | 26 | 2016 |
| Genomic Classification and Individualized Prognosis in Multiple Myeloma F Maura, AR Rajanna, B Ziccheddu, AM Poos, A Derkach, K Maclachlan, ... Journal of Clinical Oncology, JCO. 23.01277, 2024 | 6 | 2024 |
| Neural networks with manifold learning for diabetic retinopathy detection AR Rajanna, K Aryafar, R Ramchandran, C Sisson, A Shokoufandeh, ... arXiv preprint arXiv:1612.03961, 2016 | 4 | 2016 |
| Individualized treatment-adjusted risk stratification in newly diagnosed multiple myeloma F Maura, AR Rajanna, A Derkach, B Ziccheddu, N Weinhold, ... Blood 140 (Supplement 1), 1561-1563, 2022 | 3 | 2022 |
| P-357 Individualized risk in newly diagnosed multiple myeloma F Maura, A Rajanna, B Ziccheddu, A Derkach, A Poos, K Maclachlan, ... Clinical Lymphoma Myeloma and Leukemia 23, S236, 2023 | 1 | 2023 |
| Chemotherapy-Related Mutational Signatures Reveal the Origins of Therapy-Related Myeloid Neoplasms B Diamond, B Ziccheddu, EM Boyle, KH Maclachlan, J Arango Ossa, ... Blood 138 (Supplement 1), 3271-3271, 2021 | 1 | 2021 |
| Generation of realistic (in silico) histopathologic images using generative models based on deep neural networks J Benhamida, A Rajanna, SJ Sirintrapun, T Fuchs LABORATORY INVESTIGATION 98, 584-584, 2018 | 1 | 2018 |
| Artificial Intelligence of the 2-D and 3-D Bone Marrow Microenvironment to Identify Cytogenetic Subtypes of Multiple Myeloma EO Mason, D Coffey, AR Rajanna, AY Alaoui, E Panjrolia, D Qu, D Bilbao, ... Blood 142, 7163, 2023 | | 2023 |
| Individualized risk stratification in newly diagnosed multiple myeloma AR Rajanna, F Maura, A Derkach, B Ziccheddu, N Weinhold, ... Cancer Research 83 (7_Supplement), 5453-5453, 2023 | | 2023 |
| Integration of genomic and clinical data from 25,000 patients identifies molecular determinants of metastatic potential and organotropisms B Nguyen, C Fong, R DiNatale, A Luthra, S Nandakumar, H Walch, ... Cancer Research 81 (13_Supplement), 2834-2834, 2021 | | 2021 |
| Integrative analysis of clinical and genomic information identifies predictive markers of metastatic risk CJ Fong, F Sanchez-Vega, B Ngyuen, A Luthra, S Nandakumar, H Walch, ... Cancer Research 80 (16_Supplement), 1109-1109, 2020 | | 2020 |
| 37. Spatiotemporal patterns of metastatic spread and survival from MSK-IMPACT, a large-scale prospective clinical sequencing B Nguyen, C Fong, FS Vega, A Luthra, S Nandakumar, H Walch, ... Cancer Genetics 244, 14, 2020 | | 2020 |
Ray PtuchaAssistant Professor of Computer Engineering, Rochester Institute of TechnologyVerified email at rit.edu
