Zobrazeno 1 - 10
of 397
pro vyhledávání: '"Bashyam P"'
Autor:
Chintapalli, Sai Spandana, Wang, Rongguang, Yang, Zhijian, Tassopoulou, Vasiliki, Yu, Fanyang, Bashyam, Vishnu, Erus, Guray, Chaudhari, Pratik, Shou, Haochang, Davatzikos, Christos
Availability of large and diverse medical datasets is often challenged by privacy and data sharing restrictions. For successful application of machine learning techniques for disease diagnosis, prognosis, and precision medicine, large amounts of data
Externí odkaz:
http://arxiv.org/abs/2407.12897
Autor:
Wang, Rongguang, Bashyam, Vishnu, Yang, Zhijian, Yu, Fanyang, Tassopoulou, Vasiliki, Chintapalli, Sai Spandana, Skampardoni, Ioanna, Sreepada, Lasya P., Sahoo, Dushyant, Nikita, Konstantina, Abdulkadir, Ahmed, Wen, Junhao, Davatzikos, Christos
Publikováno v:
NeuroImage 269:119898 (2023)
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to a broader family called generative methods, which generate new data with a probabilistic mode
Externí odkaz:
http://arxiv.org/abs/2206.07081
Autor:
J. Annal Joy, Sandeep Kumar Palaniswamy, Sachin Kumar, Malathi Kanagasabai, S. Bashyam, Mousa I. Hussein
Publikováno v:
IEEE Access, Vol 12, Pp 46717-46740 (2024)
As communication technology advances, high-gain antennas are being investigated for a variety of long-distance applications. One such high gain antenna is reflectarray, it has combined advantageous characteristics of a reflector and phased array ante
Externí odkaz:
https://doaj.org/article/6ed1e283c16544fe8cc100e02c889a9a
Autor:
Sruti Das Choudhury, Carmela Rosaria Guadagno, Srinidhi Bashyam, Anastasios Mazis, Brent E. Ewers, Ashok Samal, Tala Awada
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
BackgroundAutofluorescence-based imaging has the potential to non-destructively characterize the biochemical and physiological properties of plants regulated by genotypes using optical properties of the tissue. A comparative study of stress tolerant
Externí odkaz:
https://doaj.org/article/18c4f3e7a2ee433bad01d9f6d657721b
Autor:
Pati, Sarthak, Thakur, Siddhesh P., Hamamcı, İbrahim Ethem, Baid, Ujjwal, Baheti, Bhakti, Bhalerao, Megh, Güley, Orhun, Mouchtaris, Sofia, Lang, David, Thermos, Spyridon, Gotkowski, Karol, González, Camila, Grenko, Caleb, Getka, Alexander, Edwards, Brandon, Sheller, Micah, Wu, Junwen, Karkada, Deepthi, Panchumarthy, Ravi, Ahluwalia, Vinayak, Zou, Chunrui, Bashyam, Vishnu, Li, Yuemeng, Haghighi, Babak, Chitalia, Rhea, Abousamra, Shahira, Kurc, Tahsin M., Gastounioti, Aimilia, Er, Sezgin, Bergman, Mark, Saltz, Joel H., Fan, Yong, Shah, Prashant, Mukhopadhyay, Anirban, Tsaftaris, Sotirios A., Menze, Bjoern, Davatzikos, Christos, Kontos, Despina, Karargyris, Alexandros, Umeton, Renato, Mattson, Peter, Bakas, Spyridon
Publikováno v:
Commun Eng 2, 23 (2023)
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities. However, greater expertise is required to develop DL algorithms, and the variability of implementations hinders their reproducibility,
Externí odkaz:
http://arxiv.org/abs/2103.01006
Autor:
Bashyam, Vishnu M., Doshi, Jimit, Erus, Guray, Srinivasan, Dhivya, Abdulkadir, Ahmed, Habes, Mohamad, Fan, Yong, Masters, Colin L., Maruff, Paul, Zhuo, Chuanjun, Völzke, Henry, Johnson, Sterling C., Fripp, Jurgen, Koutsouleris, Nikolaos, Satterthwaite, Theodore D., Wolf, Daniel H., Gur, Raquel E., Gur, Ruben C., Morris, John C., Albert, Marilyn S., Grabe, Hans J., Resnick, Susan M., Bryan, R. Nick, Wolk, David A., Shou, Haochang, Nasrallah, Ilya M., Davatzikos, Christos
Conventional and deep learning-based methods have shown great potential in the medical imaging domain, as means for deriving diagnostic, prognostic, and predictive biomarkers, and by contributing to precision medicine. However, these methods have yet
Externí odkaz:
http://arxiv.org/abs/2010.05355
Autor:
Anula Divyash Singh, Sreekanth Patnam, Anisha Manocha, Leena Bashyam, Aravind Kumar Rengan, Manda Venkata Sasidhar
Publikováno v:
MethodsX, Vol 11, Iss , Pp 102310- (2023)
Urine is a highly advantageous biological specimen for biomarker research and is a non-invasive source. Most of the urinary biomarkers are non-specific, volatile and need extensive validation before clinical adoption. Extracellular vesicles are secre
Externí odkaz:
https://doaj.org/article/0c1b4c3f2f99491dbcd394dfaa8b0b05
Akademický článek
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Akademický článek
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Autor:
Fengling Hu, Andrew A. Chen, Hannah Horng, Vishnu Bashyam, Christos Davatzikos, Aaron Alexander-Bloch, Mingyao Li, Haochang Shou, Theodore D. Satterthwaite, Meichen Yu, Russell T. Shinohara
Publikováno v:
NeuroImage, Vol 274, Iss , Pp 120125- (2023)
Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding
Externí odkaz:
https://doaj.org/article/6dec96d34ba34395b20d9e3d639003fa