M. Bilal

发表

Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology images

N. Rajpoot, I. Cree, S. Raza, 2021, medRxiv.

Role of AI and digital pathology for colorectal immuno-oncology

D. Snead, G. Taylor, N. Rajpoot, 2022, British Journal of Cancer.

An Aggregation of Aggregation Methods in Computational Pathology

Hammam M. AlGhamdi, Amina Asif, Hammam Alghamdi, 2022, Medical Image Anal..

TIAToolbox as an end-to-end library for advanced tissue image analytics

David B. A. Epstein, S. Raza, F. Minhas, 2022, Communications Medicine.

A generalized modeling of ill-posed inverse reconstruction of images using a novel data-driven framework

M. Bilal, Muhammad Arif, 2019, Signal, Image and Video Processing.

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

N. Rajpoot, I. Cree, S. Raza, 2021, The Lancet. Digital health.

Better Physical Activity Classification using Smartphone Acceleration Sensor

Ahmed Kattan, Muhammad Arif, Mohsin Bilal, 2014, Journal of Medical Systems.

Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

N. Rajpoot, M. Bilal, Nima Hatami, 2021, ArXiv.

Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer

Ruqayya Awan, S. Raza, D. Snead, 2022, 2203.00449.

Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations pdf

Mohsin Bilal, Abhir Bhalerao, Nasir Rajpoot, 2021, The journal of pathology. Clinical research.

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics

David B. A. Epstein, N. Rajpoot, F. Minhas, 2021, bioRxiv.

Capturing Cellular Topology in Multi-Gigapixel Pathology Images

Nasir Rajpoot, Wenqi Lu, Fayyaz Minhas, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Optimal Restoration of Spatially Variant Degraded Images using Intelligent Methods

Mohsin Bilal, M. Bilal, 2016 .

Optimal edge preserving restoration with efficient regularisation

Ayyaz Hussain, Mohsin Bilal, Muhammad Arfan Jaffar, 2015 .

FedDropoutAvg: Generalizable federated learning for histopathology image classification pdf

Nasir M. Rajpoot, Mohsin Bilal, Shan E Ahmed Raza, 2021, ArXiv.

Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study

Y. Tsang, A. Bhalerao, S. Raza, 2023, Gut.

A revised framework of machine learning application for optimal activity recognition

Muhammad Arif, Mohsin Bilal, Mudasser F. Wyne, 2019, Cluster Computing.

Solution of n-Queen problem using ACO

Mohsin Bilal, Salabat Khan, Rauf Baig, 2009, 2009 IEEE 13th International Multitopic Conference.

A Circuit Analysis-Based Fault Finding Algorithm for Photovoltaic Array Under L–L/L–G Faults

Ali Faisal Murtaza, Mohsin Bilal, Riaz Ahmad, 2020, IEEE Journal of Emerging and Selected Topics in Power Electronics.

Novel Optimization Framework to Recover True Image Data

M. Jaffar, H. Mujtaba, M. Bilal, 2015, Cognitive Computation.

Skin Lesions Identification Using Deep Convolutional Neural Network

Tasneem Alkarakatly, Shatha Eidhah, Miaad Al-Sarawani, 2020, 2019 International Conference on Advances in the Emerging Computing Technologies (AECT).

A Solution to Bipartite Drawing Problem Using Genetic Algorithm

Farrukh Aslam Khan, Mohsin Bilal, Salabat Khan, 2011, ICSI.

A Federated Learning Approach to Tumor Detection in Colon Histology Images

S. Raza, N. Rajpoot, M. Bilal, 2023, Journal of Medical Systems.

Modified particle swarm optimization and fuzzy regularization for pseudo de-convolution of spatially variant blurs

H. Mujtaba, M. Bilal, Muhammad Arfan Jaffar, 2016, Multimedia Tools and Applications.

Adaptive Filter and Morphological Operators Using Binary PSO

Mohsin Bilal, Salabat Khan, Muhammad Sharif, 2010, ICICA.

Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer.

N. Rajpoot, M. Bilal, M. Jahanifar, 2024, Medical image analysis.

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge pdf

Mohsin Bilal, Nasir Rajpoot, Neda Zamani Tajeddin, 2021, MIDOG/MOOD/Learn2Reg@MICCAI.

Artificial Intelligence-Based Mitosis Scoring in Breast Cancer: Clinical Application.

A. Bhalerao, M. Toss, N. Wahab, 2023, Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc.

Development and validation of AI-based pre-screening of large bowel biopsies

Y. Tsang, A. Bhalerao, S. Raza, 2022, medRxiv.

Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study.

Y. Tsang, A. Bhalerao, S. Raza, 2023, The Lancet. Digital health.

Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence

A. Bhalerao, S. Raza, M. Toss, 2023, British Journal of Cancer.

AI‐based intra‐tumor heterogeneity score of Ki67 expression as a prognostic marker for early‐stage ER+/HER2− breast cancer

A. Bhalerao, S. Raza, M. Toss, 2023, The journal of pathology. Clinical research.