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2020 – today
- 2024
[i5]Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein:
Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. CoRR abs/2405.00144 (2024)- [i4]Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein:
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. CoRR abs/2405.14720 (2024) - 2023
- [b1]Aditya Jonnalagadda:
Incorporating human visual properties into neural network models. University of California, Santa Barbara, USA, 2023 - 2021
- [j1]Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim:
Robust Vision-Based Cheat Detection in Competitive Gaming. Proc. ACM Comput. Graph. Interact. Tech. 4(1): 7:1-7:18 (2021) - [i3]Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim:
Robust Vision-Based Cheat Detection in Competitive Gaming. CoRR abs/2103.10031 (2021) - [i2]Aditya Jonnalagadda, William Wang, Miguel P. Eckstein:
FoveaTer: Foveated Transformer for Image Classification. CoRR abs/2105.14173 (2021) - 2020
- [c2]Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic
, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment 2020: 1131617
2010 – 2019
- 2019
- [c1]Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein:
Towards Metamerism via Foveated Style Transfer. ICLR (Poster) 2019 - 2017
- [i1]Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein:
Towards Metamerism via Foveated Style Transfer. CoRR abs/1705.10041 (2017)
Coauthor Index
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