(SESSION 1: P22) A Comparison of Scanner Image Quality for use in Hematopathology Applications
Bruce Zheng Cen; Kevin O. Leslie, MD; Fei Chu, MD,PhD; David Wilson; Stephen L. Cook, MD; Jim ZB. Lu, MD
(SESSION 2: P9) A Deep Convolutional Neural Network in Predicting Tumor Recurrence in Head and Neck Squamous Cell Carcinoma
Minh Khang Le, MD; Truong Mr. Nguyen Phan-Xuan, MD; Masataka Kawai, MD PhD; Nakarin Dr. Kitkumthorn, PhD; Shanop Shuangshoti; Somboon Keelawat, MD; Tetsuo Kondo
(SESSION 3: P20) A robust image synthesis and segmentation pipeline for histopathology
Muhammad Jehanzaib; Kutsev Bengisu Ozyoruk, PhD; M. Talha Abdullah; Kayhan Basak, MD; Derya Demir, MD; G. Evren Keles, MD; Drew FK. Williamson; Mehmet Turan, PhD
(SESSION 1: P17) AI-assisted mitosis counting in breast cancer - A large-scale validation study
Leslie Tessier; Cristina González Gonzalo; David Tellez; Wouter Bulten; Maschenka Balkenhol; Jeroen A. van der Laak, PhD
(SESSION 1: P3) AI-Based Quantification of Tumor-Infiltrating Lymphocytes in High-Grade Serous Ovarian Cancer: A Comparative Study
A. Humeyra Dur Karasayar; Berke Levent Cesur; Fatma Ulkem Kasapoglu; Pinar Bulutay, MD; Cisel Aydin Mericoz, MD; Burhan Soner Yetkili; Javidan Osmanli; Ibrahim Kulac, MD; Cigdem Gunduz Demir, PhD; Nilgun Kapucuoglu, MD
(SESSION 3: P18) AI-driven immune phenotype stratification and tumor microenvironment spatial analysis within PanCytokeratin-CD8 stained tumor specimens
Stacy L. Littlechild, Dr, PhD; Dragana I. Stojnev, BS; Uroš Milivojević; Masa M. Jovanovic; Nikola N. Blagojević, MS; Claire Weston, PhD, PhD; Igor Mihajlovic; Sinisa Todorovic, PhD
(SESSION 1: P4) An international comparative study of 116 pathologists: AI improves inter-rater reproducibility of Ki67 scoring in breast cancer
Amanda Dy; Ngoc-Nhu Jennifer Nguyen; Julien Meyer; Melanie Dawe; Anthony Fyles; Fei-Fei Liu; Dimitrios Androutsos; Susan Done; April Khademi; Wei Shi
(SESSION 3: P23) Artificial intelligence-assisted quantification of PD-L1 immunostaining in non-small cell lung cancer
Michael Quinton, MD; Blaine Berger, MD; Yinan Hua, MD, PhD; LaPortia Smith, MD, MPH; Bing Leng, MD, PhD; Christopher McPhaul, MD; William Payne, MD; Kenneth Youens, Dr., MD, MBA
(SESSION 3: P16) Automated Mitotic Rate Detection in Primary Cutaneous Melanomas Using Artificial Intelligence
Saba Shafi, MD; Samet Ayalti; G. Evren Keles, MD; Giovanni Lujan, Dr., MD; Anil V. Parwani, Dr, MD; Jose Plaza, Dr., MD; Sercan Cayir; Engin Bozaba
(SESSION 2: P17) Automatic prediction of ER/PR expression levels in Duplex IHC Assays
xingwei wang, Ph.D; Jim F. Martin, PhD; Terry H. Landowski, PhD; Erika Walker; Patricia (Trish) A. Thorne-Nuzzo, BS; Paco Delgado, MBA; Gianni Ferreri, PhD
(SESSION 1: P10) Bridging the Clinical-Computational Divide
Ankush U. Patel, Dr., MD; Jason Hipp, MD/PhD; Quincy Gu, PhD
(SESSION 2: P3) Cell lines are non-inferior to tonsil as controls for Ki-67 assays when measured by image analysis
Dirk D. Vossen; Regan Fulton, MD, PhD; Jeppe JT. Thagaard, PhD; Henrik HH. Hoeg, MSc; Stine Amtoft Nielsen; Scott Crawford; Mateusz MT. Tylicki, BSc (Hons); Andrew M Bellizzi; Sven S. van Kempen; Tri Q. Nguyen; Ghlowy Gerritsen
(SESSION 1: P5) Comparison between glass coverslipped slides versus tape coverslipped slides for digital pathology workflow
Swati Satturwar; Amy Koenig; David A. Kellough; Erin Palermini; Mandy Escalante; Wendy L. Frankel, MD; Giovanni Lujan, Dr., MD; Zaibo Li, MD, PhD, MBA; Anil V. Parwani, Dr, MD; Shaoli Sun, MD; Jason Walsh
(SESSION 1: P15) Comparison of trichrome Positive Pixel Count and pathologist scoring for assessment of histologic liver fibrosis in children and young adults
Mahdieh Shabanian; Christopher M. Woods; Zachary P. Taylor; Elanchezhian Somasundaram, PhD; Jonathan R. Dillman; Anas Bernieh; Lili He; Sarangarajan Ranganathan; Jennifer Picarsic
(SESSION 3: P19) Deep learning for artefact identification and quantification in digital pathology
Thomas Forest; Michael Napolitano; Dina Cavalcante; Tara McNutt; Tinaikar Tinaikar; Geetank Raipuria; Raghav Amaravati; Nitin Singhal
(SESSION 2: P10) Deep learning-based detection of ovarian cancer from peritoneal fluid cytology
Jiwon Lee; Seonggyeong Choi; Seoyeon Shin; Binna Kim; Yosep Chong; Mohammad Rizwan Alam; Kyung Jin Seo; Gisu Hwang; Dahyeon Kim; Gyungyub Gong; Nam Hoon Cho; Chong Woo Yoo; Kwangil Yim
(SESSION 2: P21) Deep learning-based virtual special staining of H&E-stained tissue sections
Fatma Nur Kinali; Kutsev Bengisu Ozyoruk, PhD; Derya Demir, MD; Gurdeniz Serin, MD; G. Evren Keles, MD; Emre Cagatay Kose, MD; Drew FK. Williamson, MD; Banu Sarsik, MD; Ceren Utku, MD; Uguray Payam MD. Hacisalihoglu, MD; Figen Ozturk, MD; Yavuz Nuri Ertas; Ilknur Turkmen, MD; Serdar Balci, MD; Kayhan Basak, MD; Mehmet Turan, PhD
(SESSION 2: P22) Deep neural network’s efficacy for the detection of skin lesions
Keith Noorda; Rajni Mandal, MD; April Larson; Gregory Osmond; Emma Cancelliere-Stanton
(SESSION 3: P13) Detection of Decidual Vasculopathy using multiresolution hierarchical neural network
Mangalam Sahai; Mustafa Yousif; Michael Quick; Sid Mayer; Philip LeDuc; Jonathan Cagan; Raymond Jenoski; Liron Pantanowitz, Dr., MD, MHA
(SESSION 3: P1) Diagnosis of DLBCL using Multiplex imaging
Boaz Brill; Ginette Schiby, MD; Jonathan Weidenfeld, MD; Leonid Zakharin; Reuven Afriat; Shmoolik Mangan; Yuval Garini; Iris Barshack, MD; Shachar Naor, MD
(SESSION 2: P24) Digital analysis of breast cancer Ki-67 scores in different whole slide image formats
Burak Uzel, MD; G. Evren Keles, MD; Berrak Gumuskaya, MD; Eren Tekin; Gizem Solmaz; Gulsah Ozsoy; Sercan Cayir; Sezgin Zerdelci; Fatma Tokat, MD
(SESSION 1: P12) Digital Image Analysis as a Clinical Decision Support System for Diagnosing Acute Leukemia: A Systematic Review and Meta-analysis
Syed Hassaan Ahmed Qasid, MBBS; - P. Poombal, Dr., MBBS; Syed Mubeen Ahmed, MBBS; Ali A. Rahman, MBBS; Sara Pirzada, MBBS; Abdul Hanan, MD; Yonah Ziemba, MD; Syed Ali Yazdan, Pharm-D; Nayab Gohar, MBBS
(SESSION 3: P14) Efficiency of a deployed artificial intelligence (AI) algorithm for prostate biopsy primary diagnosis
Juan C. Santa-Rosario, MD; Dario Sanabria-Bellasai, MD; Phillip Gustafson; Erik Gustafson; Sevde Etoz; Manuela Vecsler
(SESSION 2: P8) Feature vectors and metadata standardsfor large-scale WSI archives
Robert Harb; Paul Torke; Markus Plass; Peter Regitnig; Peter Holub; Tomas Brazdil; Christian Geißler; Norman Zerbe; Tom Bisson; Rita Carvalho; Heimo Müller
(SESSION 3: P22) From WSI to Utilizing Screenshots for Case Documentation and More: Transforming Pathology Practice for the Digital Era
Shaoli Sun, MD; Jennifer Sachire; Jillian Cullison; David A. Kellough; Erin Palermini, BS, MLT( ASCP); Zaibo Li, MD, PhD, MBA; Giovanni Lujan, Dr., MD; Wendy L. Frankel, MD; Swati Satturwar, MD; Anil V. Parwani, Dr, MD
(SESSION 3: P11) HALO Lung Macrodissect AI: a tumor cell estimation algorithm for use in a pulmonary adenocarcinoma molecular pathology workflow.
Peter D. Caie, PhD; Rebecca Wyatt, PhD; David A. Dorward, Dr, MD PhD; Anca Oniscu, Dr, MD; Daniel Field, Dr; Donna K. Mulkern; Christopher Corless, MD, PhD; Hannah Moore
(SESSION 3: P10) In-house validation of Convolutional Neural Network (CNN)-based artificial intelligence (AI) algorithm in evaluating Pap smears
Rushabh Mehta; Girish Muzumdar, MD; Anupama Gupta, MD; Gautam Daftary, MD; Dr. Anshu, MD; Swapnil Rane, MD, DNB; Ganesh Divekar, MBBS; James John, MD; Akshay Daftary; Rahul Srivastava
(SESSION 2: P6) Leveraging artificial intelligence to detect malignancy in breast cancer
Hafez Eslami Manoochehri; Derek Miller; Sheheryar Ali Arshad; Payam Khorramshahi; Ayobami Owosho; Ji Wang; Simon Saraga; Jagdish Valand; Kate Tea; Vivian Tan; Catherine Conway; Chad Salinas; Bryce Brown; Tanuj Dikonda
(SESSION 2: P4) Multiple Instance Learning for Whole Slide Image-level Diagnosis of Metastatic Breast Carcinoma in Pleural Fluid
Binna Kim; Hong Sik Park; Yujin Lee; Kwangil Yim; Mohammad Rizwan Alam; Kyung Jin Seo; Gisu Hwang; Dahyeon Kim; Gyungyub Gong; Nam Hoon Cho; Chong Woo Yoo; Yosep Chong; Hyun Joo Choi
(SESSION 3: P6) Prospective, blinded, comparative, cross-over, feature-detection study for validation of test whole slide imaging viewer system developed by identify.bio to explore artificial intelligence application for the evaluation of Pap smears
Ganesh Divekar, MBBS; Girish A. Muzumdar, MD; Rushabh Mehta; Gautam Daftary, MD; Anupama Gupta, MD; Dr. Anshu, -, MD, MHPE; James John, MD; Rahul Srivastava; Akshay Daftary
(SESSION 1: P19) Quality control detection of out-of-focus patches in digital pathology
Phoenix PW. Wilkie; Lukasz Itert; Dina Bassiouny Abousheishaa, MD.; Anne L. Martel, PhD
(SESSION 1: P9) Redundancy Reduction in WSI Patch Selection Guided by Unsupervised Anomaly Detection
Peyman Nejat, MD; Areej Alsaafin; Aaron Mangold, MD; Nneka Comfere, M.D.; Dennis Murphree, Ph.D.; Hamid R. Tizhoosh, PhD; Ghazal Alabtah
(SESSION 2: P2) Spatial multiplexing of protein biomarkers for immune cell profiling of the tumor microenvironment with ChipCytometry
Benton Berigan, PhD; Karen Boettcher; Anna-Katharina Mueller; Jennifer Brooks, PhD; Matthew Ingalls, PhD; Marco Navarro, PhD; Kevin Gamber, PhD
(SESSION 1: P20) Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology
Victoria Mountain, Dr., Ph.D.; Sai Chowdary Gullapally; Yibo Zhang; Nintin Mittal; Deeksha Kartik; Sandhya Srinivasan; Kevin Rose; Daniel Shenker; Dinkar Juyal; Harshith Padigela; Raymond Biju; Victor Minden; Chirag Maheshwari; Marc Thibault; Zvi Goldstein; Luke Novak; Nidhi Chandra; Justin Lee; Aaditya Prakash; Chintan Shah; John Abel; Darren Fahy; Amaro Taylor-Weiner; Anand Sampat
(SESSION 1: P18) THE EXPERIENCE OF INTRODUCING TELEPATHOLOGY IN MONGOLIA
Dr Tsedenbal; Enkhee Ochirjav, Dr; Ariun-Uils Gankhuyag; Bolortuya Dorj, Dr; Saruul Gerelchuluun, Dr; Baljinnyam Delegnyam; Gankhuu Gankhuyag, Dr; Undarmaa Erdene, Dr; Uyanga Gotov; Enkhtuya Sharkhuu, Dr; Yukio Takeshima; Kouki Inai, Professor
(SESSION 1: P21) Tissue identification in histopathology images in nonclinical toxicologic pathology workflows
Thomas Forest; Michael Napolitano; Dina Cavalcante; Tara McNutt; Tinaikar Tinaikar; Geetank Raipuria; Raghav Amaravati; Nitin Singhal
(SESSION 2: P15) Towards accurate detection of liver fibrosis in children and young adults using the CLAM deep learning pipeline
Mahdieh Shabanian; Christopher Wood; Anas Bernieh; Elanchezhian Somasundaram, PhD; Jonathan R. Dillman; Lili He; Sarangarajan Ranganathan; Jennifer Picarsic
(SESSION 3: P9) Utilizing Artificial Intelligence-Assisted Heuristic Scanning to Enhancing Efficiency of Urine Cytology Slides Scanning
Jen-Fan Hang, MD; Yen-Chuan Ou, MD/PhD; Wei-Lei Yang, Ph.D.; Tang-Yi Tsao, MD; Cheng-Hung Yeh; Chi-Bin Li; En-Yu Hsu; Po-Yen Hung; Tien-Jen Liu; Min-Che Tung, MD
(SESSION 3: P7) Whole slide image-level prediction of malignant effusion cytology using clustering-constrained attention multiple instance learning
Dongwoo Kim; Jongwon Lee; Minsoo Jung; Binna Kim; Yosep Chong; Kwangil Yim; Gisu Hwang; Dahyeon Kim; Mohammad Rizwan Alam; Gyungyub Gong; Nam Hoon Cho; Chong Woo Yoo; Kyung Jin Seo
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