Utilizing a Pathomics Biomarker to Predict the Effectiveness of Bevacizumab in Ovarian Cancer Treatment by Patrik Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Laura Adhikari, Kar-Ming Fung, Yuchen Qiu

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Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C by Paul Calès, Julien Chaigneau, Gilles Hunault, Sophie Michalak, Christine Cavaro-Menard, Jean-Baptiste Fasquel, Sandrine Bertrais, Marie-Christine Rousselet

Subjects: “…Cirrhosis, digital histopathology, image analysis, liver biopsy, METAVIR staging…”
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Self supervised contrastive learning for digital histopathology by Ozan Ciga, Tony Xu, Anne Louise Martel

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Learning histopathological patterns by Andreas Kårsnäs, Anders L Dahl, Rasmus Larsen

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Development of a diagnostic support system for the fibrosis of nonalcoholic fatty liver disease using artificial intelligence and deep learning by Noppamate Preechathammawong, Mongkon Charoenpitakchai, Nutthawat Wongsason, Julalak Karuehardsuwan, Thaninee Prasoppokakorn, Panyavee Pitisuttithum, Anapat Sanpavat, Karn Yongsiriwit, Thannob Aribarg, Parkpoom Chaisiriprasert, Sombat Treeprasertsuk, Sakkarin Chirapongsathorn

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Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features by Ka Ho Tam, Maria F. Soares, Jesper Kers, Jesper Kers, Jesper Kers, Edward J. Sharples, Rutger J. Ploeg, Rutger J. Ploeg, Maria Kaisar, Maria Kaisar, Jens Rittscher

Subjects: “…digital histopathology…”
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Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer by Shahira Abousamra, Rajarsi Gupta, Le Hou, Rebecca Batiste, Tianhao Zhao, Anand Shankar, Arvind Rao, Chao Chen, Dimitris Samaras, Tahsin Kurc, Joel Saltz

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Randomized cross-over study and a qualitative analysis comparing virtual microscopy and light microscopy for learning undergraduate histopathology by Nauhria Samal, Ramdass V. A. K Prakash

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Empiric Methods to Account for Pre-analytical Variability in Digital Histopathology in Frontotemporal Lobar Degeneration by Lucia A. A. Giannini, Lucia A. A. Giannini, Lucia A. A. Giannini, Sharon X. Xie, Claire Peterson, Claire Peterson, Cecilia Zhou, Cecilia Zhou, Edward B. Lee, Edward B. Lee, David A. Wolk, Murray Grossman, John Q. Trojanowski, John Q. Trojanowski, Corey T. McMillan, David J. Irwin, David J. Irwin

Subjects: “…digital histopathology…”
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Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling by Kun Liu, Xiaolin Ning, Sidong Liu

Subjects: “…digital histopathology…”
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Advancements in Neurosurgical Intraoperative Histology by Ali A. Mohamed, Emma Sargent, Cooper Williams, Zev Karve, Karthik Nair, Brandon Lucke-Wold

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Deep learning based digital pathology for predicting treatment response to first-line PD-1 blockade in advanced gastric cancer by Yifan Liu, Wei Chen, Ruiwen Ruan, Zhimei Zhang, Zhixiong Wang, Tianpei Guan, Qi Lin, Wei Tang, Jun Deng, Zhao Wang, Guanghua Li

Subjects: “…Digital histopathological images…”
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Rapid On‐Site Digital Histopatholocal Evaluation (RODE) on Endobronchial Ultrasound (EBUS) Mediastinal Lymph Node Cryobiopsy Sampling Using Confocal Laser Microscopy—A Proof‐Of‐Con... by Hari Kishan Gonuguntla, Belgundi Preeti Vidyasagar, Milap Shah, Sejal B. Radia, Somesh Tripathi, Venerino Poletti

Subjects: “…rapid on‐site digital histopathological evaluation…”
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