Prediction of cognitive and motor development in preterm children using exhaustive feature selection and cross-validation of near-term white matter microstructure

by Kornél Schadl, Rachel Vassar, Katelyn Cahill-Rowley, Kristen W. Yeom, David K. Stevenson, Jessica Rose
Published 2018-01-01

Intensity-Corrected Dual-Echo Echo-Planar Imaging (DE-EPI) for Improved Pediatric Brain Diffusion Imaging.

by Kristen W Yeom, Matus Straka, Michael Iv, Michael E Moseley, Patrick D Barnes, Stefan Skare, Samantha J Holdsworth
Published 2015-01-01

Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol

by Brendan Kelly, Conor Judge, Stephanie M. Bollard, Simon M. Clifford, Gerard M. Healy, Kristen W. Yeom, Aonghus Lawlor, Ronan P. Killeen
Published 2020-12-01

Deep Learning for Automated Delineation of Pediatric Cerebral Arteries on Pre-operative Brain Magnetic Resonance Imaging

by Jennifer L. Quon, Leo C. Chen, Lily Kim, Gerald A. Grant, Michael S. B. Edwards, Michael S. B. Edwards, Samuel H. Cheshier, Kristen W. Yeom
Published 2020-10-01

Prediction of Gait Impairment in Toddlers Born Preterm From Near-Term Brain Microstructure Assessed With DTI, Using Exhaustive Feature Selection and Cross-Validation

by Katelyn Cahill-Rowley, Katelyn Cahill-Rowley, Kornél Schadl, Kornél Schadl, Rachel Vassar, Rachel Vassar, Kristen W. Yeom, David K. Stevenson, Jessica Rose, Jessica Rose, Jessica Rose
Published 2019-09-01

Development of an optogenetic toolkit for neural circuit dissection in squirrel monkeys

by Daniel J. O’Shea, Paul Kalanithi, Emily A. Ferenczi, Brian Hsueh, Chandramouli Chandrasekaran, Werapong Goo, Ilka Diester, Charu Ramakrishnan, Matthew T. Kaufman, Stephen I. Ryu, Kristen W. Yeom, Karl Deisseroth, Krishna V. Shenoy
Published 2018-04-01

Cerebral volume and diffusion MRI changes in children with sensorineural hearing loss

by Peter K. Moon, Jason Z. Qian, Emily McKenna, Kevin Xi, Nathan C. Rowe, Nathan N. Ng, Jimmy Zheng, Lydia T. Tam, Sarah J. MacEachern, Iram Ahmad, Alan G. Cheng, Nils D. Forkert, Kristen W. Yeom
Published 2020-01-01

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

by Pranav Rajpurkar, Jeremy Irvin, Robyn L Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P Langlotz, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, Francis G Blankenberg, Jayne Seekins, Timothy J Amrhein, David A Mong, Safwan S Halabi, Evan J Zucker, Andrew Y Ng, Matthew P Lungren
Published 2018-11-01

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

by Nicholas Bien, Pranav Rajpurkar, Robyn L Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, Safwan Halabi, Evan Zucker, Gary Fanton, Derek F Amanatullah, Christopher F Beaulieu, Geoffrey M Riley, Russell J Stewart, Francis G Blankenberg, David B Larson, Ricky H Jones, Curtis P Langlotz, Andrew Y Ng, Matthew P Lungren
Published 2018-11-01

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT

by Edward H. Lee, Jimmy Zheng, Errol Colak, Maryam Mohammadzadeh, Golnaz Houshmand, Nicholas Bevins, Felipe Kitamura, Emre Altinmakas, Eduardo Pontes Reis, Jae-Kwang Kim, Chad Klochko, Michelle Han, Sadegh Moradian, Ali Mohammadzadeh, Hashem Sharifian, Hassan Hashemi, Kavous Firouznia, Hossien Ghanaati, Masoumeh Gity, Hakan Doğan, Hojjat Salehinejad, Henrique Alves, Jayne Seekins, Nitamar Abdala, Çetin Atasoy, Hamidreza Pouraliakbar, Majid Maleki, S. Simon Wong, Kristen W. Yeom
Published 2021-01-01