Zobrazeno 1 - 10
of 362
pro vyhledávání: '"Ankit A. Patel"'
Publikováno v:
Case Reports in Medicine, Vol 2019 (2019)
Recreational use of synthetic cannabinoids (SCs), also known as “K2” or “Spice,” is becoming a major public-health concern due to their potential for abuse and harmful consequences. New substances are constantly being added to the content of
Externí odkaz:
https://doaj.org/article/84352f042a054bc28220355a029b6001
Autor:
Fabio Anselmi, Ankit B. Patel
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/df4f20149a104c30a9da8d086e6675be
Autor:
Josue O. Caro, Yilong Ju, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit B. Patel
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
Adversarial attacks are still a significant challenge for neural networks. Recent efforts have shown that adversarial perturbations typically contain high-frequency features, but the root cause of this phenomenon remains unknown. Inspired by theoreti
Externí odkaz:
https://doaj.org/article/087906c1ef06470b8bf107bfe56c0b31
Autor:
Konstantina Sampani, Mircea Mujat, Ankit H. Patel, Chaerim Kang, Nicusor Iftimia, Irini Chatziralli, Jennifer K. Sun
Publikováno v:
Diagnostics, Vol 14, Iss 18, p 2020 (2024)
(200/200) Purpose: Our aim was to evaluate structural alterations of retinal arterioles due to type 1 diabetes (T1D) and/or diabetic retinopathy (DR) under AOSLO imaging. Methods: Each study eye underwent mydriasis and AOSLO imaging in a single-visit
Externí odkaz:
https://doaj.org/article/1a43d2c0fd5c4d368ec298a22e8059ce
Publikováno v:
Photonics, Vol 11, Iss 6, p 522 (2024)
Adaptive optics (AO) has been used in many applications, including astronomy, microscopy, and medical imaging. In retinal imaging, AO provides real-time correction of the aberrations introduced by the cornea and the lens to facilitate diffraction-lim
Externí odkaz:
https://doaj.org/article/fb391a9393dc4cc5bfee26ebd3ebec91
Autor:
Mircea Mujat, Konstantina Sampani, Ankit H. Patel, Ronald Zambrano, Jennifer K. Sun, Gadi Wollstein, R. Daniel Ferguson, Joel S. Schuman, Nicusor Iftimia
Publikováno v:
Diagnostics, Vol 14, Iss 2, p 184 (2024)
The cellular-level visualization of retinal microstructures such as blood vessel wall components, not available with other imaging modalities, is provided with unprecedented details by dark-field imaging configurations; however, the interpretation of
Externí odkaz:
https://doaj.org/article/f1e99406a2b64a739455cc17b74a45a8
Publikováno v:
Diagnostics, Vol 13, Iss 22, p 3399 (2023)
Diseases such as diabetes affect the retinal vasculature and the health of the neural retina, leading to vision problems. We describe here an imaging method and analysis procedure that enables characterization of the retinal vessel walls with cellula
Externí odkaz:
https://doaj.org/article/c782417fad6b45b1a9a85b99450e98ad
Autor:
Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B Patel, Andreas S Tolias, Xaq Pitkow
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 3, p e1010932 (2023)
Machine learning models have difficulty generalizing to data outside of the distribution they were trained on. In particular, vision models are usually vulnerable to adversarial attacks or common corruptions, to which the human visual system is robus
Externí odkaz:
https://doaj.org/article/3e136536bcab42e1b0ed458a6e49b9ad
Autor:
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Despite the enormous success of artificial neural networks (ANNs) in many disciplines, the characterization of their computations and the origin of key properties such as generalization and robustness remain open questions. Recent literature suggests
Externí odkaz:
https://doaj.org/article/7ea7bb52abb44d12a7344e304625acda
Autor:
Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Understanding the learning dynamics and inductive bias of neural networks (NNs) is hindered by the opacity of the relationship between NN parameters and the function represented. Partially, this is due to symmetries inherent within the NN parameteriz
Externí odkaz:
https://doaj.org/article/e2330b9147f54188bde5e265df70a068