1e
19
1
49
2
2
18
1b
1d
18
2c
8f
1d
2 29
1d
25
Mark D Zarella
88
8f
Associate Professor of Pathology and Laboratory Medicine at the Hospital of the University of Pennsylvania
7
78
Department: Pathology and Laboratory Medicine
4
1
b
1d
46
Contact information
58
4
3
3
3
2
4
b
1f
58
Hospital of the University of Pennsylvania
52 Department of Pathology and Laboratory Medicine
Philadelphia, PA 19104
26
52 Department of Pathology and Laboratory Medicine
Philadelphia, PA 19104
35
f
13
Education:
21 9 B.S. 14 (Physics) c
34 University of Massachusetts, 2002.
21 a Ph.D. 1a (Neuroscience ) c
62 State University of New York – Upstate Medical University, Syracuse, NY, 2011.
c
3
3
3
3
8d
Permanent link21 9 B.S. 14 (Physics) c
34 University of Massachusetts, 2002.
21 a Ph.D. 1a (Neuroscience ) c
62 State University of New York – Upstate Medical University, Syracuse, NY, 2011.
c
2 29
21
1e
1d
24
2b
29
27
23
187 Zarella MD, McClintock DS, Batra H, Gullapalli RR, Valante M, Tan VO, Dayal S, Oh KS, Lara H, Garcia CA, Abels E.: Artificial intelligence and digital pathology: clinical promise and deployment considerations. J Med Imaging (Bellingham) 10(5): 051802, July 2023 Notes: doi: 10.1117/1.JMI.10.5.051802. Epub 2023 Jul 31.
113 Zarella MD, Rivera Alvarez K.: High-throughput whole-slide scanning to enable large-scale data repository building. J Pathology 257(4): 383-390, July 2022 Notes: doi: 10.1002/path.5923. Epub 2022 Jun 8.
24d White, M., Birkness, J. E., Salimian, K. J., Meiss, A. E., Butcher, M., Davis, K., Ware, A. D., Zarella, M. D., Lecksell, K., Rooper, L. M., Cimino-Mathews, A., VandenBussche, C. J., Halushka, M. K.,Thompson, E. D.: Continuing undergraduate pathology medical education in the coronavirus disease 2019 (COVID-19) global pandemic: The Johns Hopkins virtual surgical pathology clinical elective. Archives of Pathology & Laboratory Medicine 145(7): 814–820, March 2021 Notes: https://doi.org/10.5858/arpa.2020-0721-ED.
111 Zarella, M. D., Bowman, D. S., Aeffner, F., Farahani, N., Xthona, A., Absar, S. F., Parwani, A. V., Bui, M., & Hartman, D. J.: A practical guide to whole-slide imaging: A white paper from the Digital Pathology Association. 97 Archives of Pathology & Laboratory Medicine 143(2): 222–234, February 2019 Notes: https://doi.org/10.5858/arpa.2018-0343-RA.
1ec Abels, E., Pantanowitz, L., Aeffner, F., Zarella, M. D., van der Laak, J., Bui, M., Venkata, N., Parwani, A., Gibbs, J., Agosto-Arroyo, E., Beck, A., & Kozlowski, C.: Computational pathology definitions, best practices, and recommendations for regulatory guidance: A white paper from the Digital Pathology Association. The Journal of Pathology 249(3): 286–294, November 2019 Notes: https://doi.org/10.1002/path.5331.
15b Molnar, C., Tavolara, T. E., Garcia, C. A., McClintock, D. S., Zarella, M. D., & Han, W.: IHCScoreGAN: An unsupervised generative adversarial network for end-to-end Ki67 scoring for clinical breast cancer diagnosis. Proceedings of The 7th International Conference on Medical Imaging with Deep 42 Learning 250(no issue): 1011-1025, July 2024.
162 Zarella, M. D., Heintzelman, R. C., Popnikolov, N. K., & Garcia, F. U.: BCL-2 expression aids in the immunohistochemical prediction of the Oncotype DX breast cancer recurrence score. BMC Clinical Pathology 18(1): 14, December 2018 Notes: https://doi.org/10.1186/s12907-018-0082-3.
2c
7
1d
1f
Selected Publications
223 Hanna MG, Olson NH, Zarella M, Dash RC, Herrmann MD, Furtado LV, Stram MN, Raciti PM, Hassell L, Mays A, Pantanowitz L, Sirintrapun JS, Krishnamurthy S, Parwani A, Lujan G, Evans A, Glassy EF, Bui MM, Singh R, Souers RJ, de Baca ME, Seheult JN.: Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists. Arch Pathol Lab Med. 148(10): e335-e361, October 2024 Notes: doi: 10.5858/arpa.2023-0042-CP.187 Zarella MD, McClintock DS, Batra H, Gullapalli RR, Valante M, Tan VO, Dayal S, Oh KS, Lara H, Garcia CA, Abels E.: Artificial intelligence and digital pathology: clinical promise and deployment considerations. J Med Imaging (Bellingham) 10(5): 051802, July 2023 Notes: doi: 10.1117/1.JMI.10.5.051802. Epub 2023 Jul 31.
113 Zarella MD, Rivera Alvarez K.: High-throughput whole-slide scanning to enable large-scale data repository building. J Pathology 257(4): 383-390, July 2022 Notes: doi: 10.1002/path.5923. Epub 2022 Jun 8.
24d White, M., Birkness, J. E., Salimian, K. J., Meiss, A. E., Butcher, M., Davis, K., Ware, A. D., Zarella, M. D., Lecksell, K., Rooper, L. M., Cimino-Mathews, A., VandenBussche, C. J., Halushka, M. K.,Thompson, E. D.: Continuing undergraduate pathology medical education in the coronavirus disease 2019 (COVID-19) global pandemic: The Johns Hopkins virtual surgical pathology clinical elective. Archives of Pathology & Laboratory Medicine 145(7): 814–820, March 2021 Notes: https://doi.org/10.5858/arpa.2020-0721-ED.
111 Zarella, M. D., Bowman, D. S., Aeffner, F., Farahani, N., Xthona, A., Absar, S. F., Parwani, A. V., Bui, M., & Hartman, D. J.: A practical guide to whole-slide imaging: A white paper from the Digital Pathology Association. 97 Archives of Pathology & Laboratory Medicine 143(2): 222–234, February 2019 Notes: https://doi.org/10.5858/arpa.2018-0343-RA.
1ec Abels, E., Pantanowitz, L., Aeffner, F., Zarella, M. D., van der Laak, J., Bui, M., Venkata, N., Parwani, A., Gibbs, J., Agosto-Arroyo, E., Beck, A., & Kozlowski, C.: Computational pathology definitions, best practices, and recommendations for regulatory guidance: A white paper from the Digital Pathology Association. The Journal of Pathology 249(3): 286–294, November 2019 Notes: https://doi.org/10.1002/path.5331.
15b Molnar, C., Tavolara, T. E., Garcia, C. A., McClintock, D. S., Zarella, M. D., & Han, W.: IHCScoreGAN: An unsupervised generative adversarial network for end-to-end Ki67 scoring for clinical breast cancer diagnosis. Proceedings of The 7th International Conference on Medical Imaging with Deep 42 Learning 250(no issue): 1011-1025, July 2024.
162 Zarella, M. D., Heintzelman, R. C., Popnikolov, N. K., & Garcia, F. U.: BCL-2 expression aids in the immunohistochemical prediction of the Oncotype DX breast cancer recurrence score. BMC Clinical Pathology 18(1): 14, December 2018 Notes: https://doi.org/10.1186/s12907-018-0082-3.
2c