Andy (Jichen) Yang
Andy (Jichen) Yang
Ph.D. Candidate, Duke University
Verified email at - Homepage
Cited by
Cited by
Segment anything model for medical image analysis: an experimental study
MA Mazurowski, H Dong, H Gu, J Yang, N Konz, Y Zhang
Medical Image Analysis 89, 102918, 2023
Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists
A Swiecicki, N Li, J O'Donnell, N Said, J Yang, RC Mather, WA Jiranek, ...
Computers in biology and medicine 133, 104334, 2021
Thyroid nodules on ultrasound in children and young adults: comparison of diagnostic performance of radiologists' impressions, ACR TI-RADS, and a deep learning algorithm
J Yang, LC Page, L Wagner, B Wildman-Tobriner, L Bisset, D Frush, ...
American Journal of Roentgenology 220 (3), 408-417, 2023
GridTracer: Automatic mapping of power grids using deep learning and overhead imagery
B Huang, J Yang, A Streltsov, K Bradbury, LM Collins, JM Malof
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis
N Konz, M Buda, H Gu, A Saha, J Yang, J Chłędowski, J Park, J Witowski, ...
JAMA network open 6 (2), e230524-e230524, 2023
Data from the breast cancer screening–digital breast tomosynthesis (bcs-dbt)
M Buda, A Saha, R Walsh, S Ghate, N Li, A Święcicki, JY Lo, J Yang, ...
Data from The Cancer Imaging Archive, 2020
Breast Cancer Screening—Digital Breast Tomosynthesis (BCS-DBT)[Data set]
M Buda, A Saha, R Walsh, S Ghate, N Li, A Swiecicki, JY Lo, J Yang, ...
Cancer Imaging Arch, 2020
Deep learning for classification of thyroid nodules on ultrasound: validation on an independent dataset
J Weng, B Wildman-Tobriner, M Buda, J Yang, LM Ho, BC Allen, ...
Clinical Imaging 99, 60-66, 2023
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
H Gu, R Colglazier, H Dong, J Zhang, Y Chen, Z Yildiz, Y Chen, L Li, ...
arXiv preprint arXiv:2401.12974, 2024
Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance
H Gu, K Li, RJ Colglazier, J Yang, M Lebhar, J O'Donnell, WA Jiranek, ...
arXiv preprint arXiv:2203.08914, 2022
Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing. arXiv 2022
H Gu, K Li, RJ Colglazier, J Yang, M Lebhar, J O’Donnell, WA Jiranek, ...
arXiv preprint arXiv:2203.08914, 0
Designing synthetic overhead imagery to match a target geographic region: Preliminary results training deep learning models
V Nair, P Rhee, J Yang, B Huang, K Bradbury, JM Malof
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
H Gu, H Dong, J Yang, MA Mazurowski
arXiv preprint arXiv:2404.09957, 2024
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