- M. Shaban, ..., and N. Rajpoot. "Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images". Submitted in IEEE Transactions on Medical Imaging (Impact Factor: 6.131).
- M. Shaban, ..., and N. Rajpoot. "A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma". Submitted in Scientific Reports (Impact Factor: 4.609).
- S.E.A. Raza, L. Cheung, M. Shaban, ..., N. Rajpoot "Micro-Net: A unified model for segmentation of various objects in microscopy images." Medical image analysis 52 (2019): 160-173 (Impact Factor: 5.356).
- M. Shaban, ..., N. Rajpoot. "An Information Fusion Framework for Person Localization Via Body Pose in Spectator Crowds" Information Fusion, 2018. (Impact Factor: 6.639).
- B. Bejnordi, …, M. Shaban, N. Rajpoot, …, “Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women with Breast Cancer” JAMA. 2017;318(22):2199–2210. doi:10.1001/jama.2017.14585 (Impact Factor: 47.661).
- M. Shaban, ..., N. Rajpoot, "Automated Detection and Localization of Invasive Fronts in Oral Cancer Histology Images", 23nd Annual Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019.
- N. Alsubaie, M. Shaban, ..., N. Rajpoot, "A Multi-Resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification", 22nd Annual Conference, MIUA 2018, Southhampton, UK, July 09–11, 2018, Proceedings
- R. Awan, N. A. Koohbanani, M Shaban, ..., N. Rajpoot, “Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images”, Campilho A., Karray F., ter Haar Romeny B. (eds) Image Analysis and Recognition. ICIAR 2018. Lecture Notes in Computer Science, vol 10882. Springer, Cham.
- S. Graham, M. Shaban, ..., N. Rajpoot, “Classification of lung cancer histology images using patch-level summary statistics”, SPIE Digital Pathology 2018.
- M. M. Fraz, M. Shaban, S. Graham, S. A. Khurram, and N. Rajpoot. "Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images." In Computational Pathology and Ophthalmic Medical Image Analysis, pp. 156-164. Springer, Cham, 2018.
- N. A. Koohbanani, T. Qaisar, M. Shaban, J. Gamper, and N. Rajpoot. "Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images." In Computational Pathology and Ophthalmic Medical Image Analysis, pp. 139-147. Springer, Cham, 2018.
- M. Shaban, A. Mahmood, S. Ali, and N. Rajpoot, “Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework”, Workshop on Representation, analysis and recognition of shape and motion from image data (RFMI 2017).
A. Agarwalla, M. Shaban, N. Rajpoot, “Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images”, BMVC Workshop on Deep Learning on Irregular Domains (DLID 2017).
- M. Shaban, S. A. Khurram, M. Hassan, S. Mushtaq, A. Loya, N. Rajpoot, “Prognostic significance of automated score of tumor infiltrating lymphocytes in oral cancer”, J Clin Oncol 36, 2018, suppl; abstr e18036 (Impact Factor: 24.008).
- A. Mahmood, M. Shaban, H. Idrees, N. Rajpoot, and M. Shah, "Pose Detection for Partially Occluded Persons in Spectator Crowds." In Qatar Foundation Annual Research Conference Proceedings, vol. 2016, no. 1, p. SSHAPP3413. Qatar: HBKU Press, 2016.