Rajpoot, Nasir

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Ehteshami Bejnordi, B., Veta, M., Johannes van Diest, P., van Ginneken, B., Karssemeijer, N., Litjens, G., van der Laak, J. A. W. M., and the CAMELYON16 Consortium, Hermsen, M., Manson, Q. F., et al. (2017) · JAMA

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 3,293

Histopathological Image Analysis: A Review

Gurcan, M. N., Boucheron, L. E., Can, A., Madabhushi, A., Rajpoot, N. M., & Yener, B. (2009) · IEEE Reviews in Biomedical Engineering

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,052

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

Sirinukunwattana, K., Raza, S. E. A., Tsang, Y.-W., Snead, D. R. J., Cree, I. A., & Rajpoot, N. M. (2016) · IEEE Transactions on Medical Imaging

AI in cancer detectionCell Image Analysis Techniques

Cited by 1,224

Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study

Bilal, M., Raza, S. E. A., Azam, A., Graham, S., Ilyas, M., Cree, I. A., Snead, D., Minhas, F., & Rajpoot, N. M. (2021) · The Lancet Digital Health

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 299

Validation of digital pathology imaging for primary histopathological diagnosis

Snead, D. R. J., Tsang, Y., Meskiri, A., Kimani, P. K., Crossman, R., Rajpoot, N. M., Blessing, E., Chen, K., Gopalakrishnan, K., Matthews, P., et al. (2016) · Histopathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 238

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images

Zhou, Y., Graham, S., Alemi Koohbanani, N., Shaban, M., Heng, P.-A., & Rajpoot, N. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

AI in cancer detectionCell Image Analysis Techniques

Cited by 225

Context-aware convolutional neural network for grading of colorectal cancer histology images

Shaban, M., Awan, R., Fraz, M. M., Azam, A., Tsang, Y.-W., Snead, D., & Rajpoot, N. M. (2020) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 179

NuClick: A deep learning framework for interactive segmentation of microscopic images

Alemi Koohbanani, N., Jahanifar, M., Zamani Tajadin, N., & Rajpoot, N. (2020) · Medical Image Analysis

AI in cancer detectionCell Image Analysis Techniques

Cited by 147

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

Gamper, J., & Rajpoot, N. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionMultimodal Machine Learning Applications

Cited by 75

Metrics reloaded: Recommendations for image analysis validation

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., et al. (2022) · arXiv

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 59

Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations

Jahanifar, M., Tajeddin, N. Z., Koohbanani, N. A., Gooya, A., & Rajpoot, N. (2018) · arXiv

Cutaneous Melanoma Detection and ManagementMedical Image Segmentation Techniques

Cited by 21