Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jared Du"'
Autor:
Ipsita Sahin, Mehrnoosh Ayazi, Caio Mucchiani, Jared Dube, Konstantinos Karydis, Elena Kokkoni
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
IntroductionSoft robotics play an increasing role in the development of exosuits that assist, and in some cases enhance human motion. While most existing efforts have focused on the adult population, devices targeting infants are on the rise. This wo
Externí odkaz:
https://doaj.org/article/52a40d03d2e447aeba93d9e65b918d6d
Autor:
Chris Buckner, Robert H. George, Frank Bulman, Jared Durrett, Tim Handsel, Jennifer T. Wyffels
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Cownose rays (Rhinoptera bonasus) are schooling rays commonly displayed in large groups in public aquariums. They are long-lived, have an annual reproductive cycle, and readily breed in managed care with most pregnancies culminating with the unaided
Externí odkaz:
https://doaj.org/article/a84c1b24dbb242a5b96c3628059ad332
Publikováno v:
2018 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3625dd50cf1ffa651e388c25445f6e12
https://doi.org/10.18260/1-2--29867
https://doi.org/10.18260/1-2--29867
Autor:
Sokratis Zisis, Jared Durieux, Christian Mouchati, Nicholas Funderburg, Kate Ailstock, Mary Chong, Danielle Labbato, Grace McComsey
Publikováno v:
Pathogens and Immunity, Vol 8, Iss 2 (2023)
OBJECTIVE: COVID-19 survivors can experience lingering symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) that appear in different phenotypes, and its etiology remains elusive. We assessed the relationship of endothelial dysfunction with havi
Externí odkaz:
https://doaj.org/article/5ef29a04fb1242849307e1425481c4a9
Autor:
Robert Devita, Kaushik Chagarlamudi, Jared Durieux, David Jordan, Brian Nguyen, Jon Davidson, Vijaya Kosaraju, Salim Abboud
Publikováno v:
Tomography, Vol 7, Iss 4, Pp 747-751 (2021)
The purpose of this study is to evaluate the impact of eliminating a preprocedural planning computed tomography during CT-guided bone marrow biopsy on the technical aspects of the procedure, including patient dose, sample quality, procedure time, and
Externí odkaz:
https://doaj.org/article/6119cbe06859429c9885f6d811ef9251
Autor:
Sabri Eyuboglu, Geoffrey Angus, Bhavik N. Patel, Anuj Pareek, Guido Davidzon, Jin Long, Jared Dunnmon, Matthew P. Lungren
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Computational decision support systems could provide clinical value in whole-body FDG PET/CT workflows, but labeled data is scarce and PET/CT imaging exams are cumbersome. Here, the authors describe a weak supervision framework that extracts regional
Externí odkaz:
https://doaj.org/article/a1223497f5fb42e59a1b4db5fc7d7eff
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020)
Abstract Automated seizure detection from electroencephalography (EEG) would improve the quality of patient care while reducing medical costs, but achieving reliably high performance across patients has proven difficult. Convolutional Neural Networks
Externí odkaz:
https://doaj.org/article/ff53b21a684b46adb56f53e342154ca4
Autor:
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
Abstract Pulmonary embolism (PE) is a life-threatening clinical problem and computed tomography pulmonary angiography (CTPA) is the gold standard for diagnosis. Prompt diagnosis and immediate treatment are critical to avoid high morbidity and mortali
Externí odkaz:
https://doaj.org/article/8ceb4d87e32c41efa595cc53fbb017ec
Autor:
David Jin, Joseph H. Rosenthal, Elaine E. Thompson, Jared Dunnmon, Arash Mohtashamian, Daniel Ward, Ryan Austin, Hassan Tetteh, Niels H. Olson
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100142- (2022)
Several machine learning algorithms have demonstrated high predictive capability in the identification of cancer within digitized pathology slides. The Augmented Reality Microscope (ARM) has allowed these algorithms to be seamlessly integrated within
Externí odkaz:
https://doaj.org/article/eaee99a16e8f4ed09b784c7643b09831
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
Autor:
Jason A. Fries, Paroma Varma, Vincent S. Chen, Ke Xiao, Heliodoro Tejeda, Priyanka Saha, Jared Dunnmon, Henry Chubb, Shiraz Maskatia, Madalina Fiterau, Scott Delp, Euan Ashley, Christopher Ré, James R. Priest
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
The availability of labelled training data is one of the practical obstacles towards wide application of machine learning models in medicine. Here the authors develop a weakly supervised deep learning model for the classification of aortic malformati
Externí odkaz:
https://doaj.org/article/cd0dfcc01b1d4f6ab865ca1d205bea84