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ORCIDMuhammad Salman Khan 0001
Person information
- affiliation: Qatar University, Doha, Qatar
- affiliation (former): University of Engineering and Technology at Peshawar, Department of Electrical Engineering, Pakistan
- affiliation (former): University of Chile, Department of Electrical Engineering, Santiago de Chile, Chile
- affiliation (PhD 2013): Loughborough University, School of Electronic, Electrical and Systems Engineering, UK
Other persons with the same name
- Muhammad Salman Khan — disambiguation page
- Muhammad Salman Khan 0002 — University of North Florida, School of Computing, Jacksonville, FL, USA
- Muhammad Salman Khan 0003
![[0000-0003-4923-4249]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4923-4249")
(aka: Muhammad Salman 0001) — COMSATS Institute of Information Technology, Lahore, Pakistan (and 1 more)
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2020 – today
- 2024
[j20]Saidul Kabir, Semir Vranic, Rafif Mahmood Al Saady, Muhammad Salman Khan, Rusab Sarmun, Abdulrahman Alqahtani, Tariq O. Abbas, Muhammad E. H. Chowdhury:
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer. Expert Syst. Appl. 238(Part C): 122051 (2024)- 2023
- [j19]Sania Gul, Muhammad Salman Khan:
A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net. IEEE Access 11: 144456-144483 (2023) - [j18]Sania Gul, Muhammad Salman Khan, Syed Waqar Shah:
Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source. Comput. Speech Lang. 77: 101445 (2023) - [j17]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. Neural Comput. Appl. 35(24): 17461-17483 (2023) - [j16]Md Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md. Shaheenur Islam Sumon, Enamul Haque Bhuiyan, Amith Khandakar, Muhammad Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani:
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. Sensors 23(21): 8890 (2023) - [i10]Sania Gul, Muhammad Salman Khan, Muhammad Fazeel:
Single channel speech enhancement by colored spectrograms. CoRR abs/2310.17142 (2023) - 2022
- [j15]Sidra Gul, Muhammad Salman Khan, Asima Bibi, Amith Khandakar, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Deep learning techniques for liver and liver tumor segmentation: A review. Comput. Biol. Medicine 147: 105620 (2022) - [j14]Ghazeefa Fatima, Rao Muhammad Adeel Nawab, Muhammad Salman Khan, Ali Saeed:
Developing a Cross-lingual Semantic Word Similarity Corpus for English-Urdu Language Pair. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 25:1-25:16 (2022) - [c6]Muhammad Sheryar Fulaly, Sania Gul, Muhammad Salman Khan, Ata ur-Rehman, Syed Waqar Shah:
On evaluation of dereverberation algorithms for expectation-maximization based binaural source separation in varying echoic conditions. FIT 2022: 201-206 - [i9]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data. CoRR abs/2206.07595 (2022) - [i8]Sania Gul, Muhammad Salman Khan, Syed Waqar Shah, Ata Ur Rehman:
Recycling an anechoic pre-trained speech separation deep neural network for binaural dereverberation of a single source. CoRR abs/2208.04626 (2022) - [i7]Sania Gul, Muhammad Salman Khan, Syed Waqar Shah:
Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source. CoRR abs/2208.05184 (2022) - [i6]Turker Ince, Serkan Kiranyaz, Ozer Can Devecioglu, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Blind Restoration of Real-World Audio by 1D Operational GANs. CoRR abs/2212.14618 (2022) - 2021
- [j13]Ata Ur Rehman, Hafiz Sami Ullah, Haroon Farooq, Muhammad Salman Khan, Tayyeb Mahmood, Hafiz Owais Ahmed Khan:
Multi-Modal Anomaly Detection by Using Audio and Visual Cues. IEEE Access 9: 30587-30603 (2021) - [j12]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Comput. Biol. Medicine 132: 104319 (2021) - [j11]Faizad Ullah, Shahab U. Ansari, Muhammad Hanif, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Muhammad Salman Khan:
Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net. Sensors 21(22): 7528 (2021) - [j10]Umar Draz, Tariq Ali, Sana Yasin, Sarah Bukhari, Muhammad Salman Khan, Mohammed Hamdi, Saifur Rahman, Low Tang Jung, Amjad Ali:
An Optimal Scheme for UWSAN of Hotspots Issue Based on Energy-Efficient Novel Watchman Nodes. Wirel. Pers. Commun. 121(1): 69-94 (2021) - [c5]Asima Bibi, Muhammad Salman Khan:
Attention Convolutional U-Net for Automatic Liver Tumor Segmentation. FIT 2021: 102-107 - [c4]Ahmad Ullah, Muhammad Salman Khan, Misha Urooj Khan, Farrukh Mujahid:
Automatic Classification of Lung Sounds Using Machine Learning Algorithms. FIT 2021: 131-136 - [i5]Muhammad Islam, Kaleem Nawaz Khan, Muhammad Salman Khan:
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation. CoRR abs/2103.14301 (2021) - [i4]Kaleem Nawaz Khan, Muhammad Salman Khan, Mohammad Nauman, Muhammad Yaseen Khan:
Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware. CoRR abs/2104.04798 (2021) - 2020
- [j9]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam:
Can AI Help in Screening Viral and COVID-19 Pneumonia? IEEE Access 8: 132665-132676 (2020) - [j8]Sania Gul, Muhammad Salman Khan, Syed Waqar Shah, Jaime Lloret:
On enhancing model-based expectation maximization source separation in dynamic reverberant conditions using automatic Clifton effect. Int. J. Commun. Syst. 33(3) (2020) - [j7]Adnan Ahmad, Furkh Zeshan, Muhammad Salman Khan, Rutab Marriam, Amjad Ali, Alia Samreen:
The Impact of Gamification on Learning Outcomes of Computer Science Majors. ACM Trans. Comput. Educ. 20(2): 16:1-16:25 (2020) - [j6]Anam Abid, Muhammad Tahir Khan, Muhammad Salman Khan:
Multidomain Features-Based GA Optimized Artificial Immune System for Bearing Fault Detection. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 348-359 (2020) - [i3]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz:
Can AI help in screening Viral and COVID-19 pneumonia? CoRR abs/2003.13145 (2020) - [i2]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. CoRR abs/2012.02238 (2020) - [i1]Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid, Tamer Ölmez, Zümray Dokur, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Muhammad Salman Khan:
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning. CoRR abs/2012.08406 (2020)
2010 – 2019
- 2019
- [j5]Muhammad Salman Khan, Millaray Curilem, Fernando Huenupán, Muhammad Farhan Khan, Néstor Becerra Yoma:
A Signal Processing Perspective of Monitoring Active Volcanoes [Applications Corner]. IEEE Signal Process. Mag. 36(6): 125-163 (2019) - 2017
- [j4]Muhammad Salman Khan, James Jenkins, Néstor Becerra Yoma:
Discovering New Worlds: A review of signal processing methods for detecting exoplanets from astronomical radial velocity data [Applications Corner]. IEEE Signal Process. Mag. 34(1): 104-115 (2017) - 2015
- [j3]Muhammad Salman Khan, Miao Yu, Pengming Feng, Liang Wang, Jonathon A. Chambers:
An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Process. 110: 199-210 (2015) - 2013
- [j2]Muhammad Salman Khan, Syed M. Naqvi, Ata ur-Rehman, Wenwu Wang, Jonathon A. Chambers:
Video-Aided Model-Based Source Separation in Real Reverberant Rooms. IEEE Trans. Speech Audio Process. 21(9): 1900-1912 (2013) - [c3]Muhammad Salman Khan, Syed Mohsen Naqvi, Jonathon A. Chambers:
A new cascaded spectral subtraction approach for binaural speech dereverberation and its application in source separation. ICASSP 2013: 6566-6570 - [c2]Muhammad Salman Khan, Syed Mohsen Naqvi, Jonathon A. Chambers:
Two-stage audio-visual speech dereverberation and separation based on models of the interaural spatial cues and spatial covariance. DSP 2013: 1-6 - 2012
- [j1]Syed Mohsen Naqvi, Wenwu Wang, Muhammad Salman Khan, Mark Barnard, Jonathon A. Chambers:
Multimodal (audio-visual) source separation exploiting multi-speaker tracking, robust beamforming and time-frequency masking. IET Signal Process. 6(5): 466-477 (2012) - 2011
- [c1]Syed Mohsen Naqvi, Muhammad Salman Khan, Qingju Liu, Wenwu Wang, Jonathon A. Chambers:
Multimodal blind source separation with a circular microphone array and robust beamforming. EUSIPCO 2011: 1050-1054
Coauthor Index
aka: Muhammad Enamul Hoque Chowdhury
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last updated on 2024-05-02 23:51 CEST by the dblp team
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