no code implementations • 2 Nov 2023 • Gowtham Krishnan Murugesan, Diana McCrumb, Eric Brunner, Jithendra Kumar, Rahul Soni, Vasily Grigorash, Stephen Moore, Jeff Van Oss
In addition to the expert-annotated lesion labels, we introduced eight additional labels for organs, including the liver, kidneys, urinary bladder, spleen, lung, brain, heart, and stomach.
no code implementations • 23 Oct 2023 • Gowtham Krishnan Murugesan, Diana McCrumb, Mariam Aboian, Tej Verma, Rahul Soni, Fatima Memon, Keyvan Farahani, Linmin Pei, Ulrike Wagner, Andrey Y. Fedorov, David Clunie, Stephen Moore, Jeff Van Oss
The Image Data Commons (IDC) contains publicly available cancer radiology datasets that could be pertinent to the research and development of advanced imaging tools and algorithms.
no code implementations • 11 Mar 2021 • Bradraj Pandey, Rahul Soni, Ling-Fang Lin, Gonzalo Alvarez, Elbio Dagotto
Although in a range of hole doping pairing correlations decay slowly, our results can also be interpreted as corresponding to a charge-density-wave made of pairs, a precursor of eventual superconductivity after interladder couplings are included.
Strongly Correlated Electrons Superconductivity
no code implementations • 11 Feb 2020 • Rahul Soni, Naresh Shah, Jimmy D. Moore
Our method sits on top of a given Neural Network, requires a single scan of training data to estimate class distribution statistics, and is highly scalable to deep networks and wider pre-softmax layer.
no code implementations • 10 Feb 2020 • Rahul Soni, Naresh Shah, Chua Tat Seng, Jimmy D. Moore
For robustness, we define it as the ability of an intermediate layer to be consistent in its recall rate (the effectiveness) for different random seeds.