Towards Metamerism via Foveated Style Transfer. - Arturo Deza; Aditya Jonnalagadda; Miguel P. Eckstein (ICLR (Poster), 2019)

Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. - Aditya Jonnalagadda; Miguel A. Lago; Bruno Barufaldi; Predrag R. Bakic; Craig K. Abbey; Andrew D. A. Maidment; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2020)

FoveaTer: Foveated Transformer for Image Classification. - Aditya Jonnalagadda; William Wang 001; Miguel P. Eckstein (CoRR, 2021)

Robust Vision-Based Cheat Detection in Competitive Gaming. - Aditya Jonnalagadda; Iuri Frosio; Seth Schneider; Morgan McGuire; Joohwan Kim (Proc. ACM Comput. Graph. Interact. Tech., 2021)

Incorporating human visual properties into neural network models - Aditya Jonnalagadda (2023)

Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. - Devi Klein; Srijita Karmakar; Aditya Jonnalagadda; Craig K. Abbey; Miguel P. Eckstein (CoRR, 2024)

Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. - Aditya Jonnalagadda; Bruno Barufaldi; Andrew D. A. Maidment; Susan P. Weinstein; Craig K. Abbey; Miguel P. Eckstein (CoRR, 2024)