Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. - Shivam Kalra; Hamid R. Tizhoosh; Charles Choi; Sultaan Shah; Phedias Diamandis; Clinton J. V. Campbell; Liron Pantanowitz (Medical Image Anal., 2020)

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence. - Shivam Kalra; Hamid R. Tizhoosh; Sultaan Shah; Charles Choi; Savvas Damaskinos; Amir Safarpoor; Sobhan Shafiei; Morteza Babaie; Phedias Diamandis; Clinton J. V. Campbell; Liron Pantanowitz (npj Digit. Medicine, 2020)

Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology. - Rohollah Moosavi Tayebi; Youqing Mu; Taher Dehkharghanian; Catherine Ross; Monalisa Sur; Ronan Foley; Hamid R. Tizhoosh; Clinton J. V. Campbell (CoRR, 2021)

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. - Abtin Riasatian; Morteza Babaie; Danial Maleki; Shivam Kalra; Mojtaba Valipour; Sobhan Hemati; Manit Zaveri; Amir Safarpoor; Sobhan Shafiei; Mehdi Afshari; Maral Rasoolijaberi; Milad Sikaroudi; et al. (Medical Image Anal., 2021)

Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Taher Dehkharghanian; Abtin Riasatian; Shivam Kalra; Manit Zaveri; Clinton J. V. Campbell; Anil Parwani; Liron Pantanowitz; Hamid R. Tizhoosh (Artif. Intell. Medicine, 2022)

Automated bone marrow cytology using deep learning to generate a histogram of cell types. - Rohollah Moosavi Tayebi; Youqing Mu; Taher Dehkharghanian; Catherine Ross; Monalisa Sur; Ronan Foley; Hamid R. Tizhoosh; Clinton J. V. Campbell (Zenodo, 2022)

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities. - Ricardo Gonzalez; Ashirbani Saha; Clinton J. V. Campbell; Peyman Nejat; Cynthia Lokker; Andrew P. Norgan (CoRR, 2023)

Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review. - Ricardo Gonzalez; Peyman Nejat; Ashirbani Saha; Clinton J. V. Campbell; Andrew P. Norgan; Cynthia Lokker (CoRR, 2023)

Whole slide image representation in bone marrow cytology. - Youqing Mu; Hamid R. Tizhoosh; Taher Dehkharghanian; Clinton J. V. Campbell (Comput. Biol. Medicine, 2023)