Search Results - "Sheridan, Todd"

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  1. 1

    Deep learning features encode interpretable morphologies within histological images by Foroughi pour, Ali, White, Brian S., Park, Jonghanne, Sheridan, Todd B., Chuang, Jeffrey H.

    Published in Scientific reports (08-06-2022)
    “…Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learning-based classification of a variety of phenotypes from…”
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    Deep learning image analysis quantifies tumor heterogeneity and identifies microsatellite instability in colon cancer by Rubinstein, Jill C, Foroughi Pour, Ali, Zhou, Jie, Sheridan, Todd B, White, Brian S, Chuang, Jeffrey H

    Published in Journal of surgical oncology (01-03-2023)
    “…Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylin & eosin (H&E)-stained slides numerically encodes histomorphological tumor…”
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    Clinical characteristics and outcomes of uterine tumors resembling ovarian sex-cord tumors (UTROSCT): a systematic review of literature by Blake, Erin A, Sheridan, Todd B, Wang, Karen L, Takiuchi, Tsuyoshi, Kodama, Michiko, Sawada, Kenjiro, Matsuo, Koji

    “…Abstract Uterine tumor resembling ovarian sex-cord tumors (UTROSCT) is an extremely rare type of uterine tumor, and its clinical characteristics are not fully…”
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    SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images by Mukashyaka, Patience, Sheridan, Todd B., Foroughi pour, Ali, Chuang, Jeffrey H.

    Published in EBioMedicine (01-01-2024)
    “…Deep learning has revolutionized digital pathology, allowing automatic analysis of hematoxylin and eosin (H&E) stained whole slide images (WSIs) for diverse…”
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    Estrogen receptor expression and increased risk of lymphovascular space invasion in high-grade serous ovarian carcinoma by Matsuo, Koji, Sheridan, Todd B, Mabuchi, Seiji, Yoshino, Kiyoshi, Hasegawa, Kosei, Studeman, Kimberley D, Im, Dwight D, Rosenshein, Neil B, Roman, Lynda D, Sood, Anil K

    Published in Gynecologic oncology (01-06-2014)
    “…Abstract Objective Recent studies have demonstrated that lymphovascular space invasion (LVSI) is associated with increased risk of hematogenous and lymphatic…”
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    Genetically diverse mouse platform to xenograft cancer cells by Sargent, Jennifer K., Warner, Mark A., Low, Benjamin E., Schott, William H., Hoffert, Todd, Coleman, David, Woo, Xing Yi, Sheridan, Todd, Erattupuzha, Sonia, Henrich, Philipp P., Philip, Vivek M., Chuang, Jeffrey H., Wiles, Michael V., Hasham, Muneer G.

    Published in Disease models & mechanisms (01-09-2022)
    “…The lack of genetically diverse preclinical animal models in basic biology and efficacy testing has been cited as a potential cause of failure in clinical…”
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    The role of P501S and PSA in the diagnosis of metastatic adenocarcinoma of the prostate by Sheridan, Todd, Herawi, Mehsati, Epstein, Jonathan I, Illei, Peter B

    Published in The American journal of surgical pathology (01-09-2007)
    “…Adenocarcinoma of the prostate can present as metastatic carcinoma with no known primary. Prostatic origin can be confirmed in most of these cases by…”
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    Sessile serrated adenomas with low- and high-grade dysplasia and early carcinomas : An immunohistochemical study of serrated lesions Caught in the act by SHERIDAN, Todd B, FENTON, Hubert, LEWIN, Marc R, BURKART, Ashlie L, IACOBUZIO-DONAHUE, Christine A, FRANKEL, Wendy L, MONTGOMERY, Elizabeth

    Published in American journal of clinical pathology (01-10-2006)
    “…Sessile serrated adenomas (SSAs) show serrations typical of hyperplastic polyps but display architectural differences and lack traditional dysplasia. SSAs with…”
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    Change in prostate cancer grade over time in men followed expectantly for stage T1c disease by Sheridan, Todd B, Carter, H Ballentine, Wang, Wenle, Landis, Patricia B, Epstein, Jonathan I

    Published in The Journal of urology (01-03-2008)
    “…We assessed whether the Gleason grade changes in men followed expectantly with nonpalpable prostate cancer diagnosed on needle biopsy (stage T1c). We studied…”
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    Significance of lymphovascular space invasion in epithelial ovarian cancer by Matsuo, Koji, Sheridan, Todd B., Yoshino, Kiyoshi, Miyake, Takahito, Hew, Karina E., Im, Dwight D., Rosenshein, Neil B., Mabuchi, Seiji, Enomoto, Takayuki, Kimura, Tadashi, Sood, Anil K., Roman, Lynda D.

    Published in Cancer medicine (Malden, MA) (01-10-2012)
    “…While the prognostic significance of lymphovascular space invasion (LVSI) is well established in endometrial and cervical cancer, its role in ovarian cancer is…”
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    Deep learning tumor heterogeneity metric from histopathology images vs next generation sequencing-derived scores for colon cancer prognostication by Amiji, Hatim, Sheridan, Todd Brinsley, Chuang, Jeffrey, Rubinstein, Jill Carol

    Published in Journal of clinical oncology (01-06-2023)
    “…3537 Background: Tumor heterogeneity is as an important determinant of clinical behavior in many cancer types, with increased heterogeneity thought to confer…”
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    Abstract B039: SAMPLER: Unsupervised representations of whole slide images for tumor phenotype prediction by Mukashyaka, Patience, Sheridan, Todd B., Foroughi pour, Ali, Chuang, Jeffrey H.

    Published in Cancer research (Chicago, Ill.) (01-02-2024)
    “…Deep learning has revolutionized digital pathology, allowing for automatic analysis of hematoxylin and eosin (H&E) stained whole slide images (WSIs) for…”
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    Journal Article
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    Deconvolution microscopy: A platform for rapid on‐site evaluation of fine needle aspiration specimens that enables recovery of the sample by Liao, Haihui, Sheridan, Todd, Cosar, Ediz, Owens, Christopher, Zuo, Tao, Wang, Xiaofei, Akalin, Ali, Kandil, Dina, Dresser, Karen, Fogarty, Kevin, Bellve, Karl, Baer, Christina, Fischer, Andrew

    Published in Cytopathology (Oxford) (01-05-2022)
    “…Context Rapid on‐site evaluation (ROSE) optimises the performance of cytology, but requires skilled handling, and smearing can make the material unavailable…”
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    Abstract 1150: Unveiling the spatial landscape of tumor and stroma heterogeneity in colorectal cancer with spatial transcriptomics by Zhou, Jie, Sheridan, Todd B., Domanskyi, Sergii, Cowles, Stephanie L., Park, Sunghee, Putra, Ilham, Anczukow, Olga, Chuang, Jeffrey H., Rubinstein, Jill C.

    Published in Cancer research (Chicago, Ill.) (22-03-2024)
    “…Heterogeneity in colorectal cancer (CRC) manifests in the diversity and interactions among tumor cells, support stroma, and immune components, critically…”
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