Zobrazeno 1 - 10
of 1 480
pro vyhledávání: '"Schuman, Joel"'
Autor:
Tan, Ou, Greenfield, David S., Francis, Brian A., Varma, Rohit, Schuman, Joel S., Huang, David, Choi, Dongseok
Precis: A hybrid deep-learning model combines NFL reflectance and other OCT parameters to improve glaucoma diagnosis. Objective: To investigate if a deep learning model could be used to combine nerve fiber layer (NFL) reflectance and other OCT parame
Externí odkaz:
http://arxiv.org/abs/2406.03663
Autor:
Tan, Ou, Choi, Dongseok, Chen, Aiyin, Greenfield, David S., Francis, Brian A., Varma, Rohit, Schuman, Joel S., Huang, David, Group, Advanced Imaging for Glaucoma Study
Purpose: To evaluate nerve fiber layer (NFL) reflectance for glaucoma diagnosis using a large dataset. Methods: Participants were imaged with 4.9mm ONH scans using spectral-domain optical coherence tomography (OCT). The NFL reflectance map was recons
Externí odkaz:
http://arxiv.org/abs/2406.00170
Publikováno v:
In Ophthalmology Science September-October 2024 4(5)
Autor:
McGlumphy, Elyse J., Do, Anna, Du, Amy, Craven, Earl Randy, Geyman, Lawrence S., Shen, Leo, Schuman, Joel S., Panarelli, Joseph F.
Publikováno v:
In Ophthalmology Glaucoma March-April 2024 7(2):116-122
Autor:
Chia, Zer Keen, Kong, Alan W., Turner, Marcus L., Saifee, Murtaza, Damato, Bertil E., Backus, Benjamin T., Blaha, James J., Schuman, Joel S., Deiner, Michael S., Ou, Yvonne
Publikováno v:
In Ophthalmology Glaucoma March-April 2024 7(2):139-147
Autor:
Sedai, Suman, Antony, Bhavna, Rai, Ravneet, Jones, Katie, Ishikawa, Hiroshi, Schuman, Joel, Gadi, Wollstein, Garnavi, Rahil
Publikováno v:
MICCAI 2019 pp 282-290
Deep convolutional neural networks have shown outstanding performance in medical image segmentation tasks. The usual problem when training supervised deep learning methods is the lack of labeled data which is time-consuming and costly to obtain. In t
Externí odkaz:
http://arxiv.org/abs/2103.02083
Autor:
Tomaiuolo, Maurizio, Deaner, Jordan, VanderBeek, Brian L., Acharya, Binod, Syed, Zeba A., Zhang, Qiang, Schuman, Joel S., Hyman, Leslie
Publikováno v:
In Ophthalmology Retina July 2024
Autor:
Gisbert, Guillaume, Dey, Neel, Ishikawa, Hiroshi, Schuman, Joel, Fishbaugh, James, Gerig, Guido
Optical Coherence Tomography (OCT) is pervasive in both the research and clinical practice of Ophthalmology. However, OCT images are strongly corrupted by noise, limiting their interpretation. Current OCT denoisers leverage assumptions on noise distr
Externí odkaz:
http://arxiv.org/abs/2008.08024
Autor:
George, Yasmeen M., Sedai, Suman, Antony, Bhavna J., Ishikawa, Hiroshi, Wollstein, Gadi, Schuman, Joel S., Garnavi, Rahil
In optical coherence tomography (OCT) volumes of retina, the sequential acquisition of the individual slices makes this modality prone to motion artifacts, misalignments between adjacent slices being the most noticeable. Any distortion in OCT volumes
Externí odkaz:
http://arxiv.org/abs/2007.01522
Akademický článek
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