Zobrazeno 1 - 10
of 1 408
pro vyhledávání: '"Arjun, D."'
Autor:
Valahu, Christophe H., Olaya-Agudelo, Vanessa C., MacDonell, Ryan J., Navickas, Tomas, Rao, Arjun D., Millican, Maverick J., Pérez-Sánchez, Juan B., Yuen-Zhou, Joel, Biercuk, Michael J., Hempel, Cornelius, Tan, Ting Rei, Kassal, Ivan
Conical intersections are ubiquitous in chemistry and physics, often governing processes such as light harvesting, vision, photocatalysis, and chemical reactivity. They act as funnels between electronic states of molecules, allowing rapid and efficie
Externí odkaz:
http://arxiv.org/abs/2211.07320
Autor:
Dominic, Jeffrey, Bhaskhar, Nandita, Desai, Arjun D., Schmidt, Andrew, Rubin, Elka, Gunel, Beliz, Gold, Garry E., Hargreaves, Brian A., Lenchik, Leon, Boutin, Robert, Chaudhari, Akshay S.
Although supervised learning has enabled high performance for image segmentation, it requires a large amount of labeled training data, which can be difficult to obtain in the medical imaging field. Self-supervised learning (SSL) methods involving pre
Externí odkaz:
http://arxiv.org/abs/2210.07936
Autor:
MacDonell, Ryan J., Navickas, Tomas, Wohlers-Reichel, Tim F., Valahu, Christophe H., Rao, Arjun D., Millican, Maverick J., Currington, Michael A., Biercuk, Michael J., Tan, Ting Rei, Hempel, Cornelius, Kassal, Ivan
Spectroscopy is one of the most accurate probes of the molecular world. However, predicting molecular spectra accurately is computationally difficult because of the presence of entanglement between electronic and nuclear degrees of freedom. Although
Externí odkaz:
http://arxiv.org/abs/2209.06558
Autor:
Ozturkler, Batu, Sahiner, Arda, Ergen, Tolga, Desai, Arjun D, Sandino, Christopher M, Vasanawala, Shreyas, Pauly, John M, Mardani, Morteza, Pilanci, Mert
Unrolled neural networks have recently achieved state-of-the-art accelerated MRI reconstruction. These networks unroll iterative optimization algorithms by alternating between physics-based consistency and neural-network based regularization. However
Externí odkaz:
http://arxiv.org/abs/2207.08393
Autor:
Gunel, Beliz, Sahiner, Arda, Desai, Arjun D., Chaudhari, Akshay S., Vasanawala, Shreyas, Pilanci, Mert, Pauly, John
Unrolled neural networks have enabled state-of-the-art reconstruction performance and fast inference times for the accelerated magnetic resonance imaging (MRI) reconstruction task. However, these approaches depend on fully-sampled scans as ground tru
Externí odkaz:
http://arxiv.org/abs/2204.10436
Autor:
Hayashi, Katsuhide, Abe, Haruhiko, Olshansky, Brian, Sharma, Arjun D., Jones, Paul W., Wold, Nicholas, Perschbacher, David, Kohno, Ritsuko, Lip, Gregory.Y.H., Varma, Niraj, Wilkoff, Bruce L.
Publikováno v:
In Heart Rhythm December 2024 21(12):2543-2551
Autor:
Qu, Yiyang, Shourabizadeh, Hamed, Subramanian, Aravind, Aleman, Dionne M., Rousseau, Louis-Martin, Law, Arjun D., Viswabandya, Auro, Michelis, Fotios V.
Publikováno v:
In Experimental Hematology January 2025 141
Autor:
Desai, Arjun D, Schmidt, Andrew M, Rubin, Elka B, Sandino, Christopher M, Black, Marianne S, Mazzoli, Valentina, Stevens, Kathryn J, Boutin, Robert, Ré, Christopher, Gold, Garry E, Hargreaves, Brian A, Chaudhari, Akshay S
Magnetic resonance imaging (MRI) is a cornerstone of modern medical imaging. However, long image acquisition times, the need for qualitative expert analysis, and the lack of (and difficulty extracting) quantitative indicators that are sensitive to ti
Externí odkaz:
http://arxiv.org/abs/2203.06823
Autor:
Desai, Arjun D, Gunel, Beliz, Ozturkler, Batu M, Beg, Harris, Vasanawala, Shreyas, Hargreaves, Brian A, Ré, Christopher, Pauly, John M, Chaudhari, Akshay S
Deep neural networks have enabled improved image quality and fast inference times for various inverse problems, including accelerated magnetic resonance imaging (MRI) reconstruction. However, such models require a large number of fully-sampled ground
Externí odkaz:
http://arxiv.org/abs/2111.02549
Autor:
Shelar, Divyesh S., Malankar, Gauri S., Salunkhe, Snehal S., Manikandan, M., Chavan, Arjun D., Pinjari, Rahul V., Patra, Malay, Butcher, Ray J., Manjare, Sudesh T.
Publikováno v:
In Bioorganic Chemistry September 2024 150