no code implementations • 15 Sep 2021 • Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra V. Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael Bonham, Julianna D. Ianni
Although melanoma occurs more rarely than several other skin cancers, patients' long term survival rate is extremely low if the diagnosis is missed.
no code implementations • 20 Jul 2021 • Sivaramakrishnan Sankarapandian, Brian Kulis
Gravitational wave detectors such as LIGO and Virgo are susceptible to various types of instrumental and environmental disturbances known as glitches which can mask and mimic gravitational waves.
no code implementations • 24 Sep 2019 • Julianna D. Ianni, Rajath E. Soans, Sivaramakrishnan Sankarapandian, Ramachandra Vikas Chamarthi, Devi Ayyagari, Thomas G. Olsen, Michael J. Bonham, Coleman C. Stavish, Kiran Motaparthi, Clay J. Cockerell, Theresa A. Feeser, Jason B. Lee
We anticipate that our deep learning system will serve as a foundation enabling faster diagnosis of skin cancer, identification of cases for specialist review, and targeted diagnostic classifications.
no code implementations • NIPS Workshop CDNNRIA 2018 • Sivaramakrishnan Sankarapandian, Anil Kag, Rachel Manzelli, Brian Kulis
We describe a training strategy that grows the number of units during training, and show on several benchmark datasets that our model yields architectures that are smaller than those obtained when tuning the number of hidden units on a standard fixed architecture.