Publications by authors named "Eric Cosatto"

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Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs.
Tianci Song, Eric Cosatto, Gaoyuan Wang, Rui Kuang, Mark Gerstein

Bioinformatics· September 2024

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Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists' Visual Estimates.
Tomoharu Kiyuna, Eric Cosatto, Kanako C Hatanaka, Tomoyuki Yokose, Koji Tsuta

Diagnostics (Basel)· May 2024

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Development of multiple AI pipelines that predict neoadjuvant chemotherapy response of breast cancer using H&E-stained tissues.
Bin Shen, Akira Saito, Ai Ueda, Koji Fujita, Yui Nagamatsu, Eric Cosatto

J Pathol Clin Res· May 2023

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Prediction of non-muscle invasive bladder cancer recurrence using machine learning of quantitative nuclear features.
Naoto Tokuyama, Akira Saito, Ryu Muraoka, Shuya Matsubara, Takeshi Hashimoto, Eric Cosatto

Mod Pathol· April 2022

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Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning.
Akira Saito, Hidenori Toyoda, Masaharu Kobayashi, Yoshinori Koiwa, Hiroki Fujii, Eric Cosatto

Mod Pathol· February 2021

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Automated histological classification of whole-slide images of gastric biopsy specimens.
Hiroshi Yoshida, Taichi Shimazu, Tomoharu Kiyuna, Atsushi Marugame, Yoshiko Yamashita, Eric Cosatto

Gastric Cancer· March 2018

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Automated histological classification of whole slide images of colorectal biopsy specimens.
Hiroshi Yoshida, Yoshiko Yamashita, Taichi Shimazu, Eric Cosatto, Tomoharu Kiyuna

Oncotarget· October 2017

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Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach.
Yoichiro Yamamoto, Akira Saito, Ayako Tateishi, Hisashi Shimojo, Hiroyuki Kanno, Eric Cosatto

Sci Rep· April 2017

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Pathological Diagnosis of Gastric Cancers with a Novel Computerized Analysis System.
Kosuke Oikawa, Akira Saito, Tomoharu Kiyuna, Hans Peter Graf, Eric Cosatto

J Pathol Inform· February 2017

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A novel method for morphological pleomorphism and heterogeneity quantitative measurement: Named cell feature level co-occurrence matrix.
Akira Saito, Yasushi Numata, Takuya Hamada, Tomoyoshi Horisawa, Eric Cosatto

J Pathol Inform· October 2016

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Quantitative nucleic features are effective for discrimination of intraductal proliferative lesions of the breast.
Masatoshi Yamada, Akira Saito, Yoichiro Yamamoto, Eric Cosatto, Atsushi Kurata

J Pathol Inform· March 2016

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Classification of mitotic figures with convolutional neural networks and seeded blob features.
Christopher D Malon, Eric Cosatto

J Pathol Inform· July 2013

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Mitotic figure recognition: agreement among pathologists and computerized detector.
Christopher Malon, Elena Brachtel, Eric Cosatto, Hans Peter Graf, Atsushi Kurata

Anal Cell Pathol (Amst)· May 2012

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Mitotic index of invasive breast carcinoma. Achieving clinically meaningful precision and evaluating tertial cutoffs.
John S Meyer, Eric Cosatto, Hans Peter Graf

Arch Pathol Lab Med· November 2009

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