Mohsin Bilal

30 papers receiving 576 citations

Mohsin Bilal's Hit Papers

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 2021 · 163 citations
1630+1+3Years since publication50100150

Peers

Mohsin Bilal
Comparison fields: 5 of 97
  • Health Informatics 22
  • Artificial Intelligence 288
  • Radiology, Nuclear Medicine and Imaging 176
  • Computer Vision and Pattern Recognition 145
  • Biophysics 40
Replace Surbhi Gupta with:
Surbhi Gupta India
Ozan Ciga Canada
Chetan L. Srinidhi India
Leandro Alves Neves Brazil
Ehsan Kazemi United States
Md Shahin Ali Bangladesh
Xiaofei Luo Japan
Lan Li China
Yixin Li China
Mohsin Bilal relative to Surbhi Gupta India Surbhi Gupta's profile →
Citations per field
00.5×4.4×
Surbhi Gupta · 1×
Citations per year

Countries citing papers authored by Mohsin Bilal

Since Specialization
Citations

This map shows the geographic impact of Mohsin Bilal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohsin Bilal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsin Bilal more than expected).

Fields of papers citing papers by Mohsin Bilal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohsin Bilal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohsin Bilal. The network helps show where Mohsin Bilal may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohsin Bilal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohsin Bilal Line = papers co-authored together Mohsin Bilal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
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
Hit paper breakdown →
2021163
2 201474
3 202261
4 202037
5 201932
6 200927
7 202326
8 202323
9 202222
10 202017
11 202414
12 202312
13 201711
14 202310
15 202310
16 20129
17 20237
18
Pattern Of Causative Micro-Organisms In Catheter Related Blood Stream Infections In Dialysis Patients: Experience From Saudi Arabia.
20187
19 20246
20 20156

About Mohsin Bilal

Mohsin Bilal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 601 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Image and Signal Denoising Methods (6 papers), Advanced Image Processing Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Image Fusion Techniques (4 papers), Cancer Genomics and Diagnostics (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (288 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Computer Vision and Pattern Recognition (145 citations) and Biophysics (40 citations). Mohsin Bilal has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Nasir Rajpoot, Fayyaz Minhas, Simon Graham, Shan E Ahmed Raza, David Snead, Muhammad Arif, Sheikh Iqbal Ahamed, Ahmed Kattan, Ayesha Azam and Mohammad Ilyas. Their work appears in journals such as Medical Image Analysis, Multimedia Tools and Applications, Journal of Medical Systems, British Journal of Cancer and Modern Pathology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact