| OHSU # 3321 |
Machine-learning based forecasting of visual field deficits for glaucoma management |
Ashkan Abbasi, Hiroshi Ishikawa, Sowjanya Gowrisankaran, Xubo Song, Gadi (Chaim) Wollstein, Bhavna Antony, Joel Schuman |
| OHSU # 3133 |
An OCT method to improve scleral lens fitting |
David Huang, Yan Li, Clara Llorens Quintana |
| OHSU # 3124 |
Imaging biomarker activation maps for deep learning-aided classifiers |
Yali Jia, Pengxiao Zang |
| OHSU # 3105 |
Fully-automated diabetic retinopathy (DR) screening based on OCT and its angiography |
Yali Jia, Pengxiao Zang |
| OHSU # 3088 |
Framework for 3D retinal pathology detection by OCT/OCT-angiography |
Yali Jia, Shaohua Pi |
| OHSU # 2936 |
DailyDose decision support smart phone app to improve glycemic control in type 1 diabetes (T1D) |
Peter Jacobs, Joseph (Joe) Pinsonault, Jessica Castle, Joseph El Youssef, Sos Oganessian, Leah Wilson |
| OHSU # 2837 |
Self-tracking real-time high-resolution wide-field OCT angiography (OCTA) |
Yali Jia, Xiang Wei |
| OHSU # 2630 |
Software for deep learning-based inference of biomarker distribution in cancer samples |
Young Hwan Chang, Erik Burlingame, Geoffrey Schau, Elliot Gray |
| OHSU # 2556 |
Subtyping autism using a novel machine learning method |
Eric Feczko, Damien Fair, Shannon McWeeney |
| OHSU # 2531 |
Software for automated identification and segmentation of perivascular spaces on MRI |
Erin Boespflug, Daniel Schwartz, Lisa Silbert, David Lahna |