Citations

Citations to this article as recorded by  

• Blockchain : A safe digital technology to share cancer diagnostic results in pandemic times—Challenges and legacy for the future
  Bruno Natan Santana Lima, Lucas Alves da Mota Santana, Rani Iani Costa Gonçalo, Carla Samily de Oliveira Costa, Daniel Pitanga de Sousa Nogueira, Cleverson Luciano Trento, Wilton Mitsunari Takeshita
  Oral Surgery.2023;[Epub]     CrossRef
• Digital pathology and artificial intelligence in translational medicine and clinical practice
  Vipul Baxi, Robin Edwards, Michael Montalto, Saurabh Saha
  Modern Pathology.2022; 35(1): 23.     CrossRef
• Artificial Intelligence in Toxicological Pathology: Quantitative Evaluation of Compound-Induced Follicular Cell Hypertrophy in Rat Thyroid Gland Using Deep Learning Models
  Valeria Bertani, Olivier Blanck, Davy Guignard, Frederic Schorsch, Hannah Pischon
  Toxicologic Pathology.2022; 50(1): 23.     CrossRef
• Investigating the genealogy of the literature on digital pathology: a two-dimensional bibliometric approach
  Dayu Hu, Chengyuan Wang, Song Zheng, Xiaoyu Cui
  Scientometrics.2022; 127(2): 785.     CrossRef
• Digital Dermatopathology and Its Application to Mohs Micrographic Surgery
  Yeongjoo Oh, Hye Min Kim, Soon Won Hong, Eunah Shin, Jihee Kim, Yoon Jung Choi
  Yonsei Medical Journal.2022; 63(Suppl): S112.     CrossRef
• Assessment of parathyroid gland cellularity by digital slide analysis
  Rotem Sagiv, Bertha Delgado, Oleg Lavon, Vladislav Osipov, Re'em Sade, Sagi Shashar, Ksenia M. Yegodayev, Moshe Elkabets, Ben-Zion Joshua
  Annals of Diagnostic Pathology.2022; 58: 151907.     CrossRef
• PancreaSys: An Automated Cloud-Based Pancreatic Cancer Grading System
  Muhammad Nurmahir Mohamad Sehmi, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, Elaine Wan Ling Chan
  Frontiers in Signal Processing.2022;[Epub]     CrossRef
• Classification of Mouse Lung Metastatic Tumor with Deep Learning
  Ha Neul Lee, Hong-Deok Seo, Eui-Myoung Kim, Beom Seok Han, Jin Seok Kang
  Biomolecules & Therapeutics.2022; 30(2): 179.     CrossRef
• Techniques for digital histological morphometry of the pineal gland
  Bogdan-Alexandru Gheban, Horaţiu Alexandru Colosi, Ioana-Andreea Gheban-Roșca, Carmen Georgiu, Dan Gheban, Doiniţa Crişan, Maria Crişan
  Acta Histochemica.2022; 124(4): 151897.     CrossRef
• Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape
  Muhammad Joan Ailia, Nishant Thakur, Jamshid Abdul-Ghafar, Chan Kwon Jung, Kwangil Yim, Yosep Chong
  Cancers.2022; 14(10): 2400.     CrossRef
• Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review
  Mohammad Rizwan Alam, Jamshid Abdul-Ghafar, Kwangil Yim, Nishant Thakur, Sung Hak Lee, Hyun-Jong Jang, Chan Kwon Jung, Yosep Chong
  Cancers.2022; 14(11): 2590.     CrossRef
• Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis
  Takayuki Takahashi, Hikaru Matsuoka, Rieko Sakurai, Jun Akatsuka, Yusuke Kobayashi, Masaru Nakamura, Takashi Iwata, Kouji Banno, Motomichi Matsuzaki, Jun Takayama, Daisuke Aoki, Yoichiro Yamamoto, Gen Tamiya
  Journal of Gynecologic Oncology.2022;[Epub]     CrossRef
• Digital Pathology and Artificial Intelligence Applications in Pathology
  Heounjeong Go
  Brain Tumor Research and Treatment.2022; 10(2): 76.     CrossRef
• Mass spectrometry imaging to explore molecular heterogeneity in cell culture
  Tanja Bien, Krischan Koerfer, Jan Schwenzfeier, Klaus Dreisewerd, Jens Soltwisch
  Proceedings of the National Academy of Sciences.2022;[Epub]     CrossRef
• Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations
  Jojanneke Drogt, Megan Milota, Shoko Vos, Annelien Bredenoord, Karin Jongsma
  Modern Pathology.2022; 35(11): 1540.     CrossRef
• Deep Learning on Basal Cell Carcinoma In Vivo Reflectance Confocal Microscopy Data
  Veronika Shavlokhova, Michael Vollmer, Patrick Gholam, Babak Saravi, Andreas Vollmer, Jürgen Hoffmann, Michael Engel, Christian Freudlsperger
  Journal of Personalized Medicine.2022; 12(9): 1471.     CrossRef
• Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images
  JaeYen Song, Soyoung Im, Sung Hak Lee, Hyun-Jong Jang
  Diagnostics.2022; 12(11): 2623.     CrossRef
• A self-supervised contrastive learning approach for whole slide image representation in digital pathology
  Parsa Ashrafi Fashi, Sobhan Hemati, Morteza Babaie, Ricardo Gonzalez, H.R. Tizhoosh
  Journal of Pathology Informatics.2022; 13: 100133.     CrossRef
• A Matched-Pair Analysis of Nuclear Morphologic Features Between Core Needle Biopsy and Surgical Specimen in Thyroid Tumors Using a Deep Learning Model
  Faridul Haq, Andrey Bychkov, Chan Kwon Jung
  Endocrine Pathology.2022; 33(4): 472.     CrossRef
• Development of quality assurance program for digital pathology by the Korean Society of Pathologists
  Yosep Chong, Jeong Mo Bae, Dong Wook Kang, Gwangil Kim, Hye Seung Han
  Journal of Pathology and Translational Medicine.2022; 56(6): 370.     CrossRef
• Machine learning in renal pathology
  Matthew Nicholas Basso, Moumita Barua, Julien Meyer, Rohan John, April Khademi
  Frontiers in Nephrology.2022;[Epub]     CrossRef
• Whole Slide Image Quality in Digital Pathology: Review and Perspectives
  Romain Brixtel, Sebastien Bougleux, Olivier Lezoray, Yann Caillot, Benoit Lemoine, Mathieu Fontaine, Dalal Nebati, Arnaud Renouf
  IEEE Access.2022; 10: 131005.     CrossRef
• Generalizability of Deep Learning System for the Pathologic Diagnosis of Various Cancers
  Hyun-Jong Jang, In Hye Song, Sung Hak Lee
  Applied Sciences.2021; 11(2): 808.     CrossRef
• Recent advances in the use of stimulated Raman scattering in histopathology
  Martin Lee, C. Simon Herrington, Manasa Ravindra, Kristel Sepp, Amy Davies, Alison N. Hulme, Valerie G. Brunton
  The Analyst.2021; 146(3): 789.     CrossRef
• Preference and Demand for Digital Pathology and Computer-Aided Diagnosis among Korean Pathologists: A Survey Study Focused on Prostate Needle Biopsy
  Soo Jeong Nam, Yosep Chong, Chan Kwon Jung, Tae-Yeong Kwak, Ji Youl Lee, Jihwan Park, Mi Jung Rho, Heounjeong Go
  Applied Sciences.2021; 11(16): 7380.     CrossRef
• An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features
  M. A. Aswathy, M. Jagannath
  Medical & Biological Engineering & Computing.2021; 59(9): 1773.     CrossRef
• Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation
  Yosep Chong, Nishant Thakur, Ji Young Lee, Gyoyeon Hwang, Myungjin Choi, Yejin Kim, Hwanjo Yu, Mee Yon Cho
  Diagnostic Pathology.2021;[Epub]     CrossRef
• Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images
  Hyun-Jong Jang, In-Hye Song, Sung-Hak Lee
  Cancers.2021; 13(15): 3811.     CrossRef
• A novel evaluation method for Ki-67 immunostaining in paraffin-embedded tissues
  Eliane Pedra Dias, Nathália Silva Carlos Oliveira, Amanda Oliveira Serra-Campos, Anna Karoline Fausto da Silva, Licínio Esmeraldo da Silva, Karin Soares Cunha
  Virchows Archiv.2021; 479(1): 121.     CrossRef
• Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade
  Andrew Lagree, Audrey Shiner, Marie Angeli Alera, Lauren Fleshner, Ethan Law, Brianna Law, Fang-I Lu, David Dodington, Sonal Gandhi, Elzbieta A. Slodkowska, Alex Shenfield, Katarzyna J. Jerzak, Ali Sadeghi-Naini, William T. Tran
  Current Oncology.2021; 28(6): 4298.     CrossRef
• Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach
  Hyun-Jong Jang, Ahwon Lee, Jun Kang, In Hye Song, Sung Hak Lee
  World Journal of Gastroenterology.2021; 27(44): 7687.     CrossRef
• Clustered nuclei splitting based on recurrent distance transform in digital pathology images
  Lukasz Roszkowiak, Anna Korzynska, Dorota Pijanowska, Ramon Bosch, Marylene Lejeune, Carlos Lopez
  EURASIP Journal on Image and Video Processing.2020;[Epub]     CrossRef
• Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review
  Nishant Thakur, Hongjun Yoon, Yosep Chong
  Cancers.2020; 12(7): 1884.     CrossRef
• A bird’s-eye view of deep learning in bioimage analysis
  Erik Meijering
  Computational and Structural Biotechnology Journal.2020; 18: 2312.     CrossRef
• Pathomics in urology
  Victor M. Schuettfort, Benjamin Pradere, Michael Rink, Eva Comperat, Shahrokh F. Shariat
  Current Opinion in Urology.2020; 30(6): 823.     CrossRef
• Model Fooling Attacks Against Medical Imaging: A Short Survey
  Tuomo Sipola, Samir Puuska, Tero Kokkonen
  Information & Security: An International Journal.2020; 46(2): 215.     CrossRef
• Recommendations for pathologic practice using digital pathology: consensus report of the Korean Society of Pathologists
  Yosep Chong, Dae Cheol Kim, Chan Kwon Jung, Dong-chul Kim, Sang Yong Song, Hee Jae Joo, Sang-Yeop Yi
  Journal of Pathology and Translational Medicine.2020; 54(6): 437.     CrossRef
• A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database
  Yosep Chong, Ji Young Lee, Yejin Kim, Jingyun Choi, Hwanjo Yu, Gyeongsin Park, Mee Yon Cho, Nishant Thakur
  Journal of Pathology and Translational Medicine.2020; 54(6): 462.     CrossRef