Publications

Search title or author

Showing 1–20 of 158 publications

2024

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 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 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 1.831Medical ImagingInternet of Things
Vertebrae localization and spine segmentation on radiographic images for feature‐based curvature classification for scoliosis.
Fatima, Joddat, Mashood Mohsan, Amina Jameel, Muhammad Usman Akram, and Adeel Muzaffar Syed.
Concurrency and Computation: Practice and Experience 34, no. 26 (2022): e7300.
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 2.33Medical Imaging
Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies.
Raja, Hina, Muhammad Usman Akram, Taimur Hassan, Aneeqa Ramzan, Amtual Aziz, and Hira Raja.
IETE Journal of Research (2022): 1-21.
ISI Indexed / Impact Factor Journal PapersIF 3.367Medical ImagingData Analytics
A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset.
Iqbal, Tahira, Arslan Shaukat, Muhammad Usman Akram, Abdul Wahab Muzaffar, Zartasha Mustansar, and Yung-Cheol Byun.
IEEE Access 10 (2022): 27670-27683.
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 3.401Medical ImagingInternet of Things
Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity.
Fatima, Joddat, Amina Jameel, Muhammad Usman Akram, Adeel Muzaffar Syed, and Malaika Mushtaq.
Intelligent Automation and Soft Computing 34, no. 3 (2022): 1489-1504.

2021

ISI Indexed / Impact Factor Journal PapersIF 2.50Medical ImagingInternet of Things
Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review.
Fatima, Joddat, Muhammad Usman Akram, Amina Jameel, and Adeel Muzaffar Syed.
EURASIP Journal on Image and Video Processing 2021, no. 1 (2021): 1-23.
ISI Indexed / Impact Factor Journal PapersMedical Imaging
Automatic diagnosis of pneumothorax from chest radiographs: a systematic literature review.
Iqbal, Tahira, Arslan Shaukat, Usman Akram, Zartasha Mustansar, and Aimal Khan.
IEEE Access (2021). Impact Factor: 3.367]
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 3.34Medical Imaging
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar; Taimur Hassan; Muhammed Usman Akram; Shoab Ahmed Khan,
Computers in Biology and Medicine, 2021.
ISI Indexed / Impact Factor Journal PapersIF 1.91Medical Imaging
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage.
Khalil, Tehmina, Muhammad Usman Akram, Samina Khalid, Saadat Hanif Dar, and Nouman Ali.
International Journal of Imaging Systems and Technology, 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.

2020

Book ChaptersMedical ImagingMachine Learning & Deep Learning
Analysis of optical coherence tomography images using deep convolutional neural network for maculopathy grading.
Hassan, Taimur, Muhammad Usman Akram, and Imran Basit.
In Diabetes and Retinopathy, pp. 93-108. Elsevier, 2020.
ISI Indexed / Impact Factor Journal PapersIF 4.42Medical ImagingMachine Learning & Deep Learning
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.
Raja, Hina, Taimur Hassan, Muhammad Usman Akram, and Naoufel Werghi.
IEEE Transactions on Biomedical Engineering (2020).

Loading publications...

Publications

2024

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

2023

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

Knowledge distillation driven instance segmentation for grading prostate cancer.

Vertebrae localization and spine segmentation on radiographic images for feature‐based curvature classification for scoliosis.

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

Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies.

A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset.

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.

Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity.

2021

Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review.

Automatic diagnosis of pneumothorax from chest radiographs: a systematic literature review.

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.

An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs

A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage.

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

2020

Analysis of optical coherence tomography images using deep convolutional neural network for maculopathy grading.

Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.

2024

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

2023

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

Knowledge distillation driven instance segmentation for grading prostate cancer.

Vertebrae localization and spine segmentation on radiographic images for feature‐based curvature classification for scoliosis.

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

Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies.

A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset.

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.

Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity.

2021

Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review.

Automatic diagnosis of pneumothorax from chest radiographs: a systematic literature review.

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.

An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs

A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage.

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

2020

Analysis of optical coherence tomography images using deep convolutional neural network for maculopathy grading.

Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.