Publications

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Showing 1–20 of 28 publications

2024

ISI Indexed / Impact Factor Journal PapersIF 8.5Embedded SystemsMachine Learning & Deep Learning
Transformer-based sensor failure prediction and classification framework for UAVs.
Ahmad, Muhammad Waqas, Muhammad Usman Akram, Mashood Mohammad Mohsan, Kashif Saghar, Rashid Ahmad, and Wasi Haider Butt.
Expert Systems with Applications 248 (2024): 123415.
ISI Indexed / Impact Factor Journal PapersIF 4.6Medical ImagingMachine Learning & Deep Learning
Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.
Asaf, Muhammad Zeeshan, Babar Rao, Muhammad Usman Akram, Sajid Gul Khawaja, Samavia Khan, Thu Minh Truong, Palveen Sekhon, Irfan J. Khan, and Muhammad Shahmir Abbasi.
Scientific Reports 14, no. 1 (2024): 2335.

2023

ISI Indexed / Impact Factor Journal PapersIF 5.076Biomedical Signal ProcessingMachine Learning & Deep Learning
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain.
Safder, Syeda Noor-Ul-Huda, Muhammad Usman Akram, Muhammad Najam Dar, Aliya Ashraf Khan, Sajid Gul Khawaja, Ahmed Rauf Subhani, Imran Khan Niazi, and Sarah Gul.
Biomedical Signal Processing and Control 83 (2023): 104605.
ISI Indexed / Impact Factor Journal PapersIF 5.076Machine Learning & Deep Learning
Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning.
Khan, Asad Mansoor, Muhammad Usman Akram, Sajid Nazir, Taimur Hassan, Sajid Gul Khawaja, and Tatheer Fatima.
Biomedical Signal Processing and Control 85 (2023): 104855.
ISI Indexed / Impact Factor Journal PapersIF 6.69Artificial IntelligenceMachine Learning & Deep Learning
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks.
Nazir, Sajid, Diane M. Dickson, and Muhammad Usman Akram.
Computers in Biology and Medicine (2023): 106668.
ISI Indexed / Impact Factor Journal PapersIF 17.564Medical ImagingMachine Learning & Deep Learning
Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy.
Hassan, Taimur, Zhu Li, Muhammad Usman Akram, Irfan Hussain, Kinda Khalaf, and Naoufel Werghi.
Information Fusion (2023).
ISI Indexed / Impact Factor Journal PapersIF 3.752Medical ImagingMachine Learning & Deep LearningInternet of Things
Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization.
Khan, Asad, Muhammad Usman Akram, and Sajid Nazir.
PloS one 18, no. 1 (2023): e0280352.

2022

ISI Indexed / Impact Factor Journal PapersIF 3.476Machine Learning & Deep Learning
Vision Transformer and Language Model Based Radiology Report Generation.
Mohsan, Mashood Mohammad, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Muhammad Abdullah Aamer Baqai, and Muhammad Abbas.
IEEE Access 11 (2022): 1814-1824
ISI Indexed / Impact Factor Journal PapersIF 6.69Medical ImagingMachine Learning & Deep Learning
Knowledge distillation driven instance segmentation for grading prostate cancer.
Hassan, Taimur, Muhammad Shafay, Bilal Hassan, Muhammad Usman Akram, Ayman ElBaz, and Naoufel Werghi.
Computers in Biology and Medicine 150 (2022): 106124.
ISI Indexed / Impact Factor Journal PapersIF 3.992Medical ImagingMachine Learning & Deep LearningData Analytics
A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset.
Mehboob, Ayesha, Muhammad Usman Akram, Norah Saleh Alghamdi, and Anum Abdul Salam.
Diagnostics 12, no. 12 (2022): 3084.
ISI Indexed / Impact Factor Journal PapersIF 6.69Biomedical Signal ProcessingMachine Learning & Deep Learning
Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor.
Ismail, Shahid, Imran Siddiqi, and Usman Akram.
Computers in Biology and Medicine 145 (2022): 105470.
ISI Indexed / Impact Factor Journal PapersIF 6.69Biomedical Signal ProcessingMachine Learning & Deep LearningData Analytics
EEG-based emotion charting for Parkinson’s disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.
Dar, Muhammad Najam, Muhammad Usman Akram, Rajamanickam Yuvaraj, Sajid Gul Khawaja, and M. Murugappan.
Computers in Biology and Medicine 144 (2022): 105327.
ISI Indexed / Impact Factor Journal PapersIF 3.367Biomedical Signal ProcessingMachine Learning & Deep Learning
Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification.
Sadiq, Ayesha, Sajid Gul Khawaja, Muhammad Usman Akram, Norah Saleh Alghamdi, Aimal Khan, and Arsalan Shaukat.
IEEE Access 10 (2022): 40506-40516.
ISI Indexed / Impact Factor Journal PapersIF 3.56Medical ImagingMachine Learning & Deep LearningInternet of Things
Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.
Mushtaq, Malaika, Muhammad Usman Akram, Norah Saleh Alghamdi, Joddat Fatima, and Rao Farhat Masood.
Sensors 22, no. 4 (2022): 1547.
ISI Indexed / Impact Factor Journal PapersIF 2.373Medical ImagingMachine Learning & Deep LearningData Analytics
A deep learning approach for the classification of TB from NIH CXR dataset.
Zaidi, S. Zainab Yousuf, M. Usman Akram, Amina Jameel, and Norah Saleh Alghamdi.
IET Image Processing 16, no. 3 (2022): 787-796.
ISI Indexed / Impact Factor Journal PapersIF 3.24Machine Learning & Deep Learning
Attention based automated radiology report generation using CNN and LSTM.
Sirshar, Mehreen, Muhammad Faheem Khalil Paracha, Muhammad Usman Akram, Norah Saleh Alghamdi, Syeda Zainab Yousuf Zaidi, and Tatheer Fatima.
PloS one 17, no. 1 (2022): e0262209.

2021

ISI Indexed / Impact Factor Journal PapersMedical ImagingMachine Learning & Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.
Hassan, Taimur, Bilal Hassan, Muhammad Usman Akram, Shahrukh Hashmi, Abdel Hakim Taguri, and Naoufel Werghi.
IEEE Transactions on Instrumentation and Measurement 70 (2021): 1-14. Impact Factor: 4.016]
ISI Indexed / Impact Factor Journal PapersIF 3.88Medical ImagingMachine Learning & Deep Learning
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.
Hassan, Bilal, Shiyin Qin, Taimur Hassan, Muhammad Usman Akram, Ramsha Ahmed, and Naoufel Werghi.
Biomedical Signal Processing and Control 70 (2021): 103030.
ISI Indexed / Impact Factor Journal PapersIF 3.367Machine Learning & Deep Learning
Lung Segmentation based Pulmonary Disease Classification using Deep Neural Networks.
Zaidi, S. Zainab Yousuf, M. Usman Akram, Amina Jameel, and Norah Saleh Alghamdi.
IEEE Access (2021).
ISI Indexed / Impact Factor Journal PapersIF 5.223Medical ImagingMachine Learning & Deep Learning
RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.
Hassan, Taimur, Muhammad Usman Akram, Naoufel Werghi, and Muhammad Noman Nazir.
IEEE journal of biomedical and health informatics 25, no. 1 (2021): 108-120.

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Publications

2024

Transformer-based sensor failure prediction and classification framework for UAVs.

Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.

2023

Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain.

Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning.

Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks.

Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy.

Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization.

2022

Vision Transformer and Language Model Based Radiology Report Generation.

Knowledge distillation driven instance segmentation for grading prostate cancer.

A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset.

Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor.

EEG-based emotion charting for Parkinson’s disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.

Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification.

Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.

A deep learning approach for the classification of TB from NIH CXR dataset.

Attention based automated radiology report generation using CNN and LSTM.

2021

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.

CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.

Lung Segmentation based Pulmonary Disease Classification using Deep Neural Networks.

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.

2024

Transformer-based sensor failure prediction and classification framework for UAVs.

Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.

2023

Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain.

Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning.

Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks.

Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy.

Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization.

2022

Vision Transformer and Language Model Based Radiology Report Generation.

Knowledge distillation driven instance segmentation for grading prostate cancer.

A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset.

Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor.

EEG-based emotion charting for Parkinson’s disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.

Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification.

Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.

A deep learning approach for the classification of TB from NIH CXR dataset.

Attention based automated radiology report generation using CNN and LSTM.

2021

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.

CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.

Lung Segmentation based Pulmonary Disease Classification using Deep Neural Networks.

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.