Co-Authors
This is a "connection" page, showing publications co-authored by Marcus Clark and Maryellen Giger.
Connection Strength
2.067
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High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states. bioRxiv. 2026 Jan 15.
Score: 0.238
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Immune cell quantification of in situ inflammation partitions human lupus nephritis into mechanistic subtypes. J Clin Invest. 2025 11 03; 135(21).
Score: 0.232
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Pseudo-spectral angle mapping for pixel and cell classification in highly multiplexed immunofluorescence images. J Med Imaging (Bellingham). 2024 Nov; 11(6):067502.
Score: 0.220
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Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data. bioRxiv. 2024 Jan 11.
Score: 0.207
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Generalizations of the Jaccard index and Sørensen index for assessing agreement across multiple readers in object detection and instance segmentation in biomedical imaging. J Med Imaging (Bellingham). 2023 Dec; 10(6).
Score: 0.206
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Specific in situ inflammatory states associate with progression to renal failure in lupus nephritis. J Clin Invest. 2022 07 01; 132(13).
Score: 0.186
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Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images. Am J Pathol. 2021 10; 191(10):1693-1701.
Score: 0.173
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Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis. J Biomed Opt. 2021 01; 26(2).
Score: 0.168
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Quantifying in situ adaptive immune cell cognate interactions in humans. Nat Immunol. 2019 04; 20(4):503-513.
Score: 0.147
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Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation. Arthritis Rheumatol. 2016 11; 68(11):2740-2751.
Score: 0.126
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Cell distance mapping identifies functional T follicular helper cells in inflamed human renal tissue. Sci Transl Med. 2014 Apr 02; 6(230):230ra46.
Score: 0.105
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Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapy. Ther Adv Med Oncol. 2025; 17:17588359251379411.
Score: 0.058