no code implementations • 26 Oct 2021 • Shishira R Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
Our analysis shows that adversarial examples are neither in high-frequency nor in low-frequency components, but are simply dataset dependent.
no code implementations • 24 Jan 2020 • Vatsal Agarwal, You-Bao Tang, Jing Xiao, Ronald M. Summers
In this work, we propose a weakly-supervised co-segmentation model that first generates pseudo-masks from the RECIST slices and uses these as training labels for an attention-based convolutional neural network capable of segmenting common lesions from a pair of CT scans.
no code implementations • 23 Jan 2020 • Vatsal Agarwal, You-Bao Tang, Jing Xiao, Ronald M. Summers
Lesion segmentation on computed tomography (CT) scans is an important step for precisely monitoring changes in lesion/tumor growth.