Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rachit Saluja"'
Autor:
Dominic LaBella, Omaditya Khanna, Shan McBurney-Lin, Ryan Mclean, Pierre Nedelec, Arif S. Rashid, Nourel hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, Yaseen Dhemesh, Scott Floyd, Devon Godfrey, Fathi Hilal, Anastasia Janas, Anahita Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav I. Warman, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I Warren, Ali Hussain, John Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar, Gennaro D’Anna, Ahmed Taha, Yasaman Sharifi, Shahriar Faghani, Dominic Kite, Marco Pinho, Muhammad Ammar Haider, Michelle Alonso-Basanta, Javier Villanueva-Meyer, Andreas M. Rauschecker, Ayman Nada, Mariam Aboian, Adam Flanders, Spyridon Bakas, Evan Calabrese
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment
Externí odkaz:
https://doaj.org/article/a98787bda3824eadba3e679915417559
Autor:
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
Publikováno v:
IEEE Access, Vol 12, Pp 53277-53292 (2024)
Interpretability for machine learning models in medical imaging (MLMI) is an important direction of research. However, there is a general sense of murkiness in what interpretability means. Why does the need for interpretability in MLMI arise? What go
Externí odkaz:
https://doaj.org/article/87d9593858e8424c8ae0374818eed06f
Autor:
David A. Weiss, Rachit Saluja, Long Xie, James C. Gee, Leo P Sugrue, Abhijeet Pradhan, R. Nick Bryan, Andreas M. Rauschecker, Jeffrey D. Rudie
Publikováno v:
NeuroImage: Clinical, Vol 31, Iss , Pp 102769- (2021)
Delineation and quantification of normal and abnormal brain tissues on Magnetic Resonance Images is fundamental to the diagnosis and longitudinal assessment of neurological diseases. Here we sought to develop a convolutional neural network for automa
Externí odkaz:
https://doaj.org/article/184634796e8c44789b5d0b8301faa51b
Autor:
Jeffrey D. Rudie, David A. Weiss, Rachit Saluja, Andreas M. Rauschecker, Jiancong Wang, Leo Sugrue, Spyridon Bakas, John B. Colby
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
An important challenge in segmenting real-world biomedical imaging data is the presence of multiple disease processes within individual subjects. Most adults above age 60 exhibit a variable degree of small vessel ischemic disease, as well as chronic
Externí odkaz:
https://doaj.org/article/651c0143c4fe4aeaad458c0373bcc6a1
Autor:
Jeffrey D. Rudie, Evan Calabrese, Rachit Saluja, David Weiss, John B. Colby, Soonmee Cha, Christopher P. Hess, Andreas M. Rauschecker, Leo P. Sugrue, Javier E. Villanueva-Meyer
Publikováno v:
Radiology. Artificial intelligence, vol 4, iss 5
Radiol Artif Intell
Radiol Artif Intell
Neural networks were trained for segmentation and longitudinal assessment of posttreatment diffuse glioma. A retrospective cohort (from January 2018 to December 2019) of 298 patients with diffuse glioma (mean age, 52 years ± 14 [SD]; 177 men; 152 pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::563261cc8a41399b9ed0a5a9a13220b3
https://escholarship.org/uc/item/8h01j5xb
https://escholarship.org/uc/item/8h01j5xb
Autor:
Michelle J. Johnson, Samuel R. Pierce, Helen Loeb, Rachit Saluja, Nidhi Seethapathi, Konrad P. Kording, Laura A. Prosser, Daniel K. Bogen, Claire Chambers
Publikováno v:
IEEE Trans Neural Syst Rehabil Eng
An infant’s risk of developing neuromotor impairment is primarily assessed through visual examination by specialized clinicians. Therefore, many infants at risk for impairment go undetected, particularly in under-resourced environments. There is th
Autor:
R. Nick Bryan, Jeffrey D. Rudie, Andreas M. Rauschecker, James C. Gee, Abhijeet Pradhan, David A. Weiss, Long Xie, Rachit Saluja, Leo P. Sugrue
Publikováno v:
NeuroImage: Clinical, Vol 31, Iss, Pp 102769-(2021)
NeuroImage : Clinical
NeuroImage : Clinical
Highlights • A U-Net incorporating spatial prior information can successfully segment 6 brain tissue types. • The U-Net was able to segment gray and white matter in the presence of lesions. • The U-Net surpassed the performance of its source al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25849538d0fe00208aaeea28ebc648e0
https://escholarship.org/uc/item/681593tg
https://escholarship.org/uc/item/681593tg
Autor:
Rachit Saluja, Susmita Deb
Publikováno v:
International Journal of Computer Applications. 153:1-4
Publikováno v:
Applied Optics. 56:6949
We propose and demonstrate a compressive sensing (CS) framework for correlation holography. This is accomplished by adopting the principle of compressive sensing and thresholding in the two-point intensity correlation. The measurement matrix and the