Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sarah N, Dudgeon"'
Publikováno v:
Journal of Medical Systems. 47
Graph data models are an emerging approach to structure clinical and biomedical information. These models offer intriguing opportunities for novel approaches in healthcare, such as disease phenotyping, risk prediction, and personalized precision care
Autor:
Sarah N Dudgeon, Si Wen, Matthew G Hanna, Rajarsi Gupta, Mohamed Amgad, Manasi Sheth, Hetal Marble, Richard Huang, Markus D Herrmann, Clifford H Szu, Darick Tong, Bruce Werness, Evan Szu, Denis Larsimont, Anant Madabhushi, Evangelos Hytopoulos, Weijie Chen, Rajendra Singh, Steven N Hart, Ashish Sharma, Joel Saltz, Roberto Salgado, Brandon D Gallas
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 45-45 (2021)
Purpose: Validating artificial intelligence algorithms for clinical use in medical images is a challenging endeavor due to a lack of standard reference data (ground truth). This topic typically occupies a small portion of the discussion in research p
Externí odkaz:
https://doaj.org/article/d995816493cc41658ea373f1df2d7e73
Autor:
Thomas J S, Durant, Sarah N, Dudgeon, Jacob, McPadden, Anisia, Simpson, Nathan, Price, Wade L, Schulz, Richard, Torres, Eben M, Olson
Publikováno v:
Clinical Chemistry. 68:218-229
Background Clinical babesiosis is diagnosed, and parasite burden is determined, by microscopic inspection of a thick or thin Giemsa-stained peripheral blood smear. However, quantitative analysis by manual microscopy is subject to error. As such, meth
Autor:
Weijie Chen, Clifford H. Szu, Si Wen, Anant Madabhushi, Roberto Salgado, Rajarsi Gupta, Ashish Sharma, Evan Szu, Joel H. Saltz, Hetal D. Marble, Bruce Werness, Darick Tong, Rajendra Singh, Richard Huang, Steven N Hart, Sarah N Dudgeon, Brandon D. Gallas, Mohamed Amgad, Matthew G. Hanna, Denis Larsimont, Markus D. Herrmann, Evangelos Hytopoulos, Manasi Sheth
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 45-45 (2021)
Journal of Pathology Informatics
Journal of Pathology Informatics
Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data collection and evaluation of algorithm performance in the context of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad01234326d9d10a21027108b9ef528e
http://arxiv.org/abs/2010.06995
http://arxiv.org/abs/2010.06995
Autor:
Laura Comerma, Marie-Christine Mathieu, Joel H. Saltz, Giancarlo Pruneri, Peter Savas, Shom Goel, Stephan Wienert, Paula I. Gonzalez-Ericsson, Lee Cooper, Sunil R. Lakhani, Stefan Michiels, Pawan Kirtani, Sarah N Dudgeon, Francesco Ciompi, Uday Kurkure, Manu M. Sebastian, Giuseppe Viale, Brandon D. Gallas, Mohamed Amgad, John M. S. Bartlett, Jan Hudecek, Torsten O. Nielsen, Elisabeth Specht Stovgaard, Huang-Chun Lien, Alexander J. Lazar, Johan Hartman, Yinyin Yuan, Rim S. Kim, Jeppe Thagaard, Ashish Sharma, Sylvia Adams, Matthew G. Hanna, Stephen M. Hewitt, Weijie Chen, David L. Rimm, Khalid AbdulJabbar, Sibylle Loibl, Jochen K. Lennerz, I-Chun Chen, Zsuzsanna Bago-Horvath, Mehrnoush Khojasteh, Frédérique Penault-Llorca, Katherine L. Pogue-Geile, Federico Rojo, Marcelo Luiz Balancin, David Moore, Stuart J. Schnitt, Roberto Salgado, Loes F. S. Kooreman, Sherene Loi, Jeremy P Braybrooke, Eva Balslev, Leonie Voorwerk, Sunil S. Badve, Elvire Roblin, Jennifer K. Kerner, Marleen Kok, Andrew H. Beck, Michael Barnes, Jeroen van der Laak, Carsten Denkert, W. Fraser Symmans, Zuzana Kos, Rajendra Singh, Anant Madabhushi, Christos Sotiriou, Sandra Demaria, Hugo M. Horlings
Publikováno v:
npj Breast Cancer, Vol 6, Iss 1, Pp 1-13 (2020)
The International Immuno-Oncology Biomarker Working Group, Lien, H-C, Loibl, S, Kos, Z, Loi, S, Hanna, M G, Michiels, S, Kok, M, Nielsen, T O, Lazar, A J, Bago-Horvath, Z, Kooreman, L F S, van der Laak, J A W M, Saltz, J, Gallas, B D, Kurkure, U, Barnes, M, Salgado, R & Cooper, L A D 2020, ' Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group ', npj Breast Cancer, vol. 6, 16 . https://doi.org/10.1038/s41523-020-0154-2
npj Breast Cancer
npj Breast Cancer, 2020, 6 (1), pp.16. ⟨10.1038/s41523-020-0154-2⟩
NPJ breast cancer, Vol. 6, p. 16 [1-13] (2020)
NPJ BREAST CANCER
NPJ breast cancer, 6
npj Breast Cancer, Nature, 2020, 6 (1), pp.16. ⟨10.1038/s41523-020-0154-2⟩
NPJ breast cancer, 6, 1
2020, ' Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group ', NPJ Breast Cancer . https://doi.org/10.1038/s41523-020-0154-2
NPJ Breast Cancer
The International Immuno-Oncology Biomarker Working Group, Lien, H-C, Loibl, S, Kos, Z, Loi, S, Hanna, M G, Michiels, S, Kok, M, Nielsen, T O, Lazar, A J, Bago-Horvath, Z, Kooreman, L F S, van der Laak, J A W M, Saltz, J, Gallas, B D, Kurkure, U, Barnes, M, Salgado, R & Cooper, L A D 2020, ' Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group ', npj Breast Cancer, vol. 6, 16 . https://doi.org/10.1038/s41523-020-0154-2
npj Breast Cancer
npj Breast Cancer, 2020, 6 (1), pp.16. ⟨10.1038/s41523-020-0154-2⟩
NPJ breast cancer, Vol. 6, p. 16 [1-13] (2020)
NPJ BREAST CANCER
NPJ breast cancer, 6
npj Breast Cancer, Nature, 2020, 6 (1), pp.16. ⟨10.1038/s41523-020-0154-2⟩
NPJ breast cancer, 6, 1
2020, ' Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group ', NPJ Breast Cancer . https://doi.org/10.1038/s41523-020-0154-2
NPJ Breast Cancer
Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come abo
Autor:
Esther Abels, Matthew O Leavitt, Markus D. Herrmann, Ashish Sharma, Matthew G. Hanna, Laura Lasiter, Mike Isaacs, Pamela Goldberg, Jithesh Veetil, Scott Blakely, Sarah N Dudgeon, Amanda Lowe, Joachim Schmid, Brandon D. Gallas, Hetal D. Marble, Richard Huang, Jochen K. Lennerz
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 22-22 (2020)
Journal of Pathology Informatics
Journal of Pathology Informatics
Unlocking the full potential of pathology data by gaining computational access to histological pixel data and metadata (digital pathology) is one of the key promises of computational pathology. Despite scientific progress and several regulatory appro
Publikováno v:
Surgical and radiologic anatomy : SRA. 39(12)
We propose an addition to the Snosek et al. classification to include a subtype variant of sternalis muscle: mixed type and triple subtype. Dissection of the anterior thorax of a 96-year-old female cadaver revealed bilateral sternalis muscles with an
Publikováno v:
The FASEB Journal. 29
Thorough laboratory procedure and findings documentation is a valuable asset, as it fosters active participation and provides resources for further study outside of the classroom. We propose an ele...