Výsledky vyhledávání - "Van Tassel, P"

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Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

Autor: Holste, Gregory, Lin, Mingquan, Zhou, Ruiwen, Wang, Fei, Liu, Lei, Yan, Qi, Van Tassel, Sarah H., Kovacs, Kyle, Chew, Emily Y., Lu, Zhiyong, Wang, Zhangyang, Peng, Yifan

Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology. However, standard medical image classification approaches only assess disease presence at the time of acquisition

Externí odkaz: http://arxiv.org/abs/2405.08780

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Akademický článek

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

Autor: Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah H. Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-13 (2024)

Abstract Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology. However, standard medical image classification approaches only assess disease presence at the time of ac

Externí odkaz: https://doaj.org/article/d5bb7ebb0d8746ec9edb8eafe05c20f8

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Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations

Autor: Lin, Mingquan, Xiao, Yuyun, Hou, Bojian, Wanyan, Tingyi, Sharma, Mohit Manoj, Wang, Zhangyang, Wang, Fei, Van Tassel, Sarah, Peng, Yifan

Publikováno v: AMIA 2023 Informatics Summit

In the United States, primary open-angle glaucoma (POAG) is the leading cause of blindness, especially among African American and Hispanic individuals. Deep learning has been widely used to detect POAG using fundus images as its performance is compar

Externí odkaz: http://arxiv.org/abs/2301.11315

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Pigmented villonodular synovitis of the flexor hallucis longus tendon: A rare cause of leg pain in a 12-year-old girl

Autor: Joseph Meter, DO, MS, Taylor Anthony, DO, Haley Wingender, BS, Dane C. Van Tassel, MD, Dwa'a Alkhalaf, DO, Mohan V. Belthur, MD

Publikováno v: Radiology Case Reports, Vol 19, Iss 4, Pp 1258-1262 (2024)

Pigmented villonodular synovitis is an uncommon benign neoplastic proliferation associated with the synovium, bursa, or tendon sheaths; most commonly occurring in the third to fourth decade of life. It is rare in children and may be painful or painle

Externí odkaz: https://doaj.org/article/ea382ce0a02e433dad45c83227eea813

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Akademický článek

Disease resistance gene count increases with rainfall in Silphium integrifolium

Autor: Kyle Keepers, Kelsey Peterson, Andrew Raduski, Kathryn M. Turner, David Van Tassel, Kevin Smith, Alex Harkess, James D. Bever, Yaniv Brandvain

Publikováno v: Ecology and Evolution, Vol 14, Iss 9, Pp n/a-n/a (2024)

Abstract Intracellular plant defense against pathogens is mediated by a class of disease resistance genes known as NB‐LRRs or NLRs (R genes). Many of the diseases these genes protect against are more prevalent in regions of higher rainfall, which p

Externí odkaz: https://doaj.org/article/9192cf53318a49f4bdbbd010ad54e397

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Interleukin‐1 blockade in heart failure: an on‐treatment and off‐treatment cardiorespiratory fitness analysis

Autor: Francesco Moroni, Michele Golino, Salvatore Carbone, Cory Trankle, Marco Giuseppe Del Buono, Azita Talasaz, Ross Arena, Justin M. Canada, Giuseppe Biondi‐Zoccai, Benjamin Van Tassel, Antonio Abbate

Publikováno v: ESC Heart Failure, Vol 10, Iss 5, Pp 3199-3202 (2023)

Abstract Aims Interleukin‐1 (IL‐1) blockade may improve exercise capacity in patients with heart failure (HF) patients. The extent of the improvement and its persistence beyond discontinuation of IL‐1 blockade is unknown. Methods and results Th

Externí odkaz: https://doaj.org/article/4dc7b43c20b14d6fb2c273d874a456c1

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Improving model fairness in image-based computer-aided diagnosis

Autor: Mingquan Lin, Tianhao Li, Yifan Yang, Gregory Holste, Ying Ding, Sarah H. Van Tassel, Kyle Kovacs, George Shih, Zhangyang Wang, Zhiyong Lu, Fei Wang, Yifan Peng

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)

Abstract Deep learning has become a popular tool for computer-aided diagnosis using medical images, sometimes matching or exceeding the performance of clinicians. However, these models can also reflect and amplify human bias, potentially resulting in

Externí odkaz: https://doaj.org/article/2303727d53f34ecabc28cb178ef5db30

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