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Julie M. Caldwell
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2020 – today
- 2023
- [c2]Eliel Aknin, Ariel Larey, Julie M. Caldwell, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir:
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment. CIBCB 2023: 1-8 - [i4]Eliel Aknin, Ariel Larey, Julie M. Caldwell, Margaret H. Collins, Juan P. Abonia, Seema S. Aceves, Nicoleta C. Arva, Mirna Chehade, Evan S. Dellon, Nirmala Gonsalves, Sandeep K. Gupta, John Leung, Kathryn A. Peterson, Tetsuo Shoda, Jonathan M. Spergel, Marc E. Rothenberg, Yonatan Savir:
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment. CoRR abs/2304.07787 (2023) - 2022
- [c1]Nati Daniel, Ariel Larey, Eliel Aknin, Garrett A. Osswald, Julie M. Caldwell, Mark Rochman, Margaret H. Collins, Guang-Yu Yang, Nicoleta C. Arva, Kelley E. Capocelli, Marc E. Rothenberg, Yonatan Savir:
A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics. EMBC 2022: 3211-3217 - [i3]Ariel Larey, Eliel Aknin, Nati Daniel, Garrett A. Osswald, Julie M. Caldwell, Mark Rochman, Tanya Wasserman, Margaret H. Collins, Nicoleta C. Arva, Guang-Yu Yang, Marc E. Rothenberg, Yonatan Savir:
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis. CoRR abs/2205.13583 (2022) - 2021
- [i2]Tomer Czyzewski, Nati Daniel, Mark Rochman, Julie M. Caldwell, Garrett A. Osswald, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir:
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features. CoRR abs/2101.04989 (2021) - [i1]Nati Daniel, Ariel Larey, Eliel Aknin, Garrett A. Osswald, Julie M. Caldwell, Mark Rochman, Margaret H. Collins, Guang-Yu Yang, Nicoleta C. Arva, Kelley E. Capocelli, Marc E. Rothenberg, Yonatan Savir:
PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics. CoRR abs/2103.02015 (2021)
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