Machine Learning for Image Analysis

• 5488 · PDF Inferring tissue element identities from sample-level compositional data in cancer Georgios Asimomitis, Kevin M. Boehm, Konstantinos Liosis, Armaan Kohli, Tom Pollard, Andrew Aukerman, Arfath Pasha, Anika Begum, Lora H. Ellenson, Jinru Shia, Hong A. Zhang, Nikolaus Schultz, Sohrab P. Shah, Francisco Sanchez-Vega
• 5489 · PDF Multi-scale foundational AI descriptors enable accurate tumor localization in digitized renal cell carcinoma pathology Sahil Kapadia, Brennan Flannery, Satish Viswanath
• 5490 · PDF Scalable and interpretable multimodal AI: Integrating imaging and genomics via image-based encodingfor cancer and disease classification Sakib Mostafa, Md. Tauhidul Islam
• 5491 · PDF AI foundation model for single cell annotation from conventional histopathology images of cancer Xiangqi Bai, HoJoon Lee, Xiao Tan, Chaoyi Li, Anuja Sathe, Yan Wang, Quan Nguyen, Hanlee P. Ji
• 5492 · PDF Differential protein pattern analysis in highly multiplexed imaging Gourab Ghosh Roy, Peng Jiang
• 5493 · PDF Patterns of acid-suppressive therapy prescriptions in cancer: Are we treating symptoms or fueling the disease? M. Payling, Bea Bakshi, Marta Sakal
• 5494 · PDF Multiplex immunohistochemistry for immuno-oncology: A flexible approach to characterize the tumor microenvironment Elena Baranova, Sabine Iglesias, Amanda Finan-Marchi, Manon Motte, Renaud Burrer, Rania Gaspo, Marie Gerus-Durand
• 5495 · PDF AI-assisted Ki67 evaluation in solid tumors: Consistency and reliability compared to expert pathologists Rania Gaspo, Xavier Pichon, Maroua Tliba, Sabine Iglesias, Darshan Kumar, Renaud Burrer, Amanda Finan-Marchi, Marie Gérus-Durand

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