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For: Faust K, Bala S, van Ommeren R, Portante A, Al Qawahmed R, Djuric U, Diamandis P. Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning. Nat Mach Intell 2019;1:316-21. [DOI: 10.1038/s42256-019-0068-6] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Roohi A, Faust K, Djuric U, Diamandis P. Unsupervised Machine Learning in Pathology: The Next Frontier. Surg Pathol Clin 2020;13:349-58. [PMID: 32389272 DOI: 10.1016/j.path.2020.01.002] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
2 Durkee MS, Abraham R, Clark MR, Giger ML. Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images. Am J Pathol 2021:S0002-9440(21)00261-3. [PMID: 34129842 DOI: 10.1016/j.ajpath.2021.05.022] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
3 Dehkharghanian T, Rahnamayan S, Riasatian A, Bidgoli AA, Kalra S, Zaveri M, Babaie M, Seyed Sajadi MS, Gonzalelz R, Diamandis P, Pantanowitz L, Huang T, Tizhoosh HR. Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma. Am J Pathol 2021:S0002-9440(21)00387-4. [PMID: 34508689 DOI: 10.1016/j.ajpath.2021.08.013] [Reference Citation Analysis]
4 Riasatian A, Babaie M, Maleki D, Kalra S, Valipour M, Hemati S, Zaveri M, Safarpoor A, Shafiei S, Afshari M, Rasoolijaberi M, Sikaroudi M, Adnan M, Shah S, Choi C, Damaskinos S, Campbell CJ, Diamandis P, Pantanowitz L, Kashani H, Ghodsi A, Tizhoosh HR. Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Med Image Anal 2021;70:102032. [PMID: 33773296 DOI: 10.1016/j.media.2021.102032] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Dong N, Feng Q, Zhai M, Chang J, Mai X. A novel feature fusion based deep learning framework for white blood cell classification. J Ambient Intell Human Comput. [DOI: 10.1007/s12652-021-03642-7] [Reference Citation Analysis]
6 Thomas SM, Lefevre JG, Baxter G, Hamilton NA. Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer. Medical Image Analysis 2021;68:101915. [DOI: 10.1016/j.media.2020.101915] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
7 McAlpine ED, Michelow P, Celik T. The Utility of Unsupervised Machine Learning in Anatomic Pathology. Am J Clin Pathol 2021:aqab085. [PMID: 34302331 DOI: 10.1093/ajcp/aqab085] [Reference Citation Analysis]
8 Liao S, Jin L, Dai W, Huang G, Pan W, Hu C, Pan W. A machine learning‐based risk scoring system for infertility considering different age groups. Int J Intell Syst 2021;36:1331-44. [DOI: 10.1002/int.22344] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Holzinger A. Explainable AI and Multi-Modal Causability in Medicine. i-com 2021;19:171-9. [DOI: 10.1515/icom-2020-0024] [Cited by in Crossref: 15] [Cited by in F6Publishing: 5] [Article Influence: 15.0] [Reference Citation Analysis]
10 Lee MKI, Rabindranath M, Faust K, Yao J, Gershon A, Alsafwani N, Diamandis P. Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images. J Clin Pathol 2022:jclinpath-2021-208020. [PMID: 35169066 DOI: 10.1136/jclinpath-2021-208020] [Reference Citation Analysis]
11 Holzinger A, Malle B, Saranti A, Pfeifer B. Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI. Information Fusion 2021;71:28-37. [DOI: 10.1016/j.inffus.2021.01.008] [Cited by in Crossref: 27] [Cited by in F6Publishing: 1] [Article Influence: 27.0] [Reference Citation Analysis]