Pantanowitz, Liron

Artificial Intelligence and Digital Pathology: Challenges and Opportunities

Tizhoosh, H. R., & Pantanowitz, L. (2018) · Journal of Pathology Informatics

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 544

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

Hanna, M. G., Pantanowitz, L., Jackson, B., Palmer, O., Visweswaran, S., Pantanowitz, J., Deebajah, M., & Rashidi, H. H. (2025) · Modern Pathology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 535

Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives

Pantanowitz, L., Sharma, A., Carter, A. B., Kurc, T., Sussman, A., & Saltz, J. (2018) · Journal of Pathology Informatics

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 282

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides

Riasatian, A., Babaie, M., Maleki, D., Kalra, S., Valipour, M., Hemati, S., Zaveri, M., Safarpoor, A., Shafiei, S., Afshari, M., et al. (2021) · Medical Image Analysis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 221

US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised

Evans, A. J., Bauer, T. W., Bui, M. M., Cornish, T. C., Duncan, H., Glassy, E. F., Hipp, J., McGee, R. S., Murphy, D., Myers, C., et al. (2018) · Archives of Pathology & Laboratory Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 168

Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images

Kalra, S., Tizhoosh, H. R., Choi, C., Shah, S., Diamandis, P., Campbell, C. J. V., & Pantanowitz, L. (2020) · Medical Image Analysis

Image Retrieval and Classification TechniquesAI in cancer detection

Cited by 139

Biased data, biased AI: deep networks predict the acquisition site of TCGA images

Dehkharghanian, T., Bidgoli, A. A., Riasatian, A., Mazaheri, P., Campbell, C. J. V., Pantanowitz, L., Tizhoosh, H. R., & Rahnamayan, S. (2023) · Diagnostic Pathology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 67

Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases

Marletta, S., L’Imperio, V., Eccher, A., Antonini, P., Santonicco, N., Girolami, I., Dei Tos, A. P., Sbaraglia, M., Pagni, F., Brunelli, M., et al. (2023) · Pathology - Research and Practice

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 49

Artificial intelligence-based screening for mycobacteria in whole-slide images of tissue samples

Pantanowitz, L., Wu, U., Seigh, L., LoPresti, E., Yeh, F.-C., Salgia, P., Michelow, P., Hazelhurst, S., Chen, W.-Y., Hartman, D., et al. (2021) · American Journal of Clinical Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 45

Digital pathology: Review of current opportunities and challenges for oral pathologists

Liu, Y., & Pantanowitz, L. (2019) · Journal of Oral Pathology & Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 28

HIV-associated Lymphadenopathy

Caponetti, G., & Pantanowitz, L. (2008) · Ear, Nose & Throat Journal

HIV/AIDS oral health manifestationsLymphadenopathy Diagnosis and Analysis

Cited by 18