Tizhoosh, H.R.

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

Federated Learning and Differential Privacy for Medical Image Analysis

Adnan, M., Kalra, S., Cresswell, J. C., Taylor, G. W., & Tizhoosh, H. (2021) · Scientific Reports

Privacy-Preserving Technologies in DataAI in cancer detection

Cited by 464

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

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

Representation Learning of Histopathology Images using Graph Neural Networks

Adnan, M., Kalra, S., & Tizhoosh, H. R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 109

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

Learning to predict RNA sequence expressions from whole slide images with applications for search and classification

Alsaafin, A., Safarpoor, A., Sikaroudi, M., Hipp, J. D., & Tizhoosh, H. R. (2023) · Communications Biology

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 40