Muhammad Shaban
Muhammad Shaban
Brigham and Women's Hospital, Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
Methods for segmentation and classification of digital microscopy tissue images
QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ...
Frontiers in bioengineering and biotechnology 7, 433738, 2019
Micro-Net: A unified model for segmentation of various objects in microscopy images
SEA Raza, L Cheung, M Shaban, S Graham, D Epstein, S Pelengaris, ...
Medical image analysis 52, 160-173, 2019
Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images
Y Zhou, S Graham, N Alemi Koohbanani, M Shaban, PA Heng, N Rajpoot
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Pan-cancer integrative histology-genomic analysis via multimodal deep learning
RJ Chen, MY Lu, DFK Williamson, TY Chen, J Lipkova, Z Noor, M Shaban, ...
Cancer Cell 40 (8), 865-878. e6, 2022
Artificial intelligence for multimodal data integration in oncology
J Lipkova, RJ Chen, B Chen, MY Lu, M Barbieri, D Shao, AJ Vaidya, ...
Cancer Cell 40 (10), 1095-1110, 2022
A novel digital score for abundance of tumour infiltrating lymphocytes predicts disease free survival in oral squamous cell carcinoma
M Shaban, SA Khurram, MM Fraz, N Alsubaie, I Masood, S Mushtaq, ...
Scientific reports 9 (1), 13341, 2019
Context-aware convolutional neural network for grading of colorectal cancer histology images
M Shaban, R Awan, MM Fraz, A Azam, YW Tsang, D Snead, NM Rajpoot
IEEE transactions on medical imaging 39 (7), 2395-2405, 2020
Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks
RJ Chen, MY Lu, M Shaban, C Chen, TY Chen, DFK Williamson, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review
H Mahmood, M Shaban, BI Indave, AR Santos-Silva, N Rajpoot, ...
Oral Oncology 110, 104885, 2020
Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview
H Mahmood, M Shaban, N Rajpoot, SA Khurram
British Journal of Cancer, 1-7, 2021
Context-aware learning using transferable features for classification of breast cancer histology images
R Awan, NA Koohbanani, M Shaban, A Lisowska, N Rajpoot
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
Classification of lung cancer histology images using patch-level summary statistics
S Graham, M Shaban, T Qaiser, NA Koohbanani, SA Khurram, N Rajpoot
Medical Imaging 2018: Digital Pathology 10581, 327-334, 2018
FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer
MM Fraz, SA Khurram, S Graham, M Shaban, M Hassan, A Loya, ...
Neural Computing and Applications 32, 9915-9928, 2020
Towards a general-purpose foundation model for computational pathology
RJ Chen, T Ding, MY Lu, DFK Williamson, G Jaume, AH Song, B Chen, ...
Nature Medicine, 1-13, 2024
A multi-resolution deep learning framework for lung adenocarcinoma growth pattern classification
N Alsubaie, M Shaban, D Snead, A Khurram, N Rajpoot
Medical Image Understanding and Analysis: 22nd Conference, MIUA 2018 …, 2018
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma
M Shaban, SEA Raza, M Hassan, A Jamshed, S Mushtaq, A Loya, N Batis, ...
The Journal of pathology, 2021
Deep learning based digital cell profiles for risk stratification of urine cytology images
R Awan, K Benes, A Azam, TH Song, M Shaban, C Verrill, YW Tsang, ...
Cytometry Part A 99 (7), 732-742, 2021
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
A Agarwalla, M Shaban, NM Rajpoot
arXiv preprint arXiv:1707.08814, 2017
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images
RMS Bashir, H Mahmood, M Shaban, SEA Raza, MM Fraz, SA Khurram, ...
Medical Imaging 2020: Digital Pathology 11320, 245-250, 2020
The system can't perform the operation now. Try again later.
Articles 1–20