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ORCIDM. Usman Akram
Muhammad Usman Akram – Usman Akram
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2020 – today
- 2024
[j80]Amna Waheed Awan, Imran Taj
, Shehzad Khalid, Syed Muhammad Usman, Ali Shariq Imran, Muhammad Usman Akram:
Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition. IEEE Access 12: 141890-141904 (2024)- [j79]Bilal Hassan, Hina Raja, Taimur Hassan, Muhammad Usman Akram, Hira Raja, Alaa A. Abd-alrazaq, Siamak Yousefi, Naoufel Werghi:
A comprehensive review of artificial intelligence models for screening major retinal diseases. Artif. Intell. Rev. 57(5): 111 (2024) - [j78]Mohsan Tanveer, Muhammad Usman Akram, Asad Mansoor Khan:
TransNetV: An optimized hybrid model for enhanced colorectal cancer image classification. Biomed. Signal Process. Control. 96: 106579 (2024) - [j77]Muhammad Waqas Ahmad, Muhammad Usman Akram, Mashood Mohammad Mohsan, Kashif Saghar, Rashid Ahmad, Wasi Haider Butt:
Transformer-based sensor failure prediction and classification framework for UAVs. Expert Syst. Appl. 248: 123415 (2024) - [j76]Muhammad Imran, Muhammad Usman Akram, Mohsin Islam Tiwana, Anum Abdul Salam, Danilo Greco:
Two-dimensional hybrid incremental learning (2DHIL) framework for semantic segmentation of skin tissues. Image Vis. Comput. 148: 105098 (2024) - [j75]Muhammad Imran, Muhammad Usman Akram, Mohsin Islam Tiwana, Anum Abdul Salam, Taimur Hassan, Danilo Greco:
Two-dimensional hybrid incremental learning (2DHIL) framework for semantic segmentation of skin tissues. Image Vis. Comput. 148: 105147 (2024) - [j74]Muhammad Imran, Muhammad Usman Akram, Mohsin Islam Tiwana, Anum Abdul Salam, Danilo Greco:
Erratum to "Two-dimensional hybrid incremental learning (2DHIL) framework for semantic segmentation of skin tissues" [Image and Vision Computing. Vol148 (2024) 105098]. Image Vis. Comput. 148: 105148 (2024) - [c90]Nadia Rasheed, Muhammad Usman Akram, Jahan Zeb:
Convolutional Neural Network Based Predictive Framework for Intensive Care Unit Readmission. ICACS 2024: 1-9 - [c89]Muhammad Arslan Shahid, Arslan Shaukat, Muhammad Usman Akram, Wasi Haider Butt:
Classification of Fetal Cardiac Arrhythmia Using Heart Rate Variability and Machine Learning. ICACS 2024: 1-7 - [c88]Ammara Nasim, Zawar Khan, Taimur Hassan, Soyiba Jawed, Muhammad Usman Akram, Jahan Zeb:
A Cross-domain Vision Transformer Based Framework for Baggage Threat Classification. ICCAE 2024: 493-497 - [i9]Rabia Asghar, Arslan Shaukat, Usman Akram, Rimsha Tariq:
Classification of 4 types of White blood cell images. CoRR abs/2409.13442 (2024) - 2023
- [j73]Mashood Mohammad Mohsan, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Mohammad Abdullah-Al-Wadud, Muhammad Abbas:
Vision Transformer and Language Model Based Radiology Report Generation. IEEE Access 11: 1814-1824 (2023) - [j72]Shahid Ismail Malik, Basit Ismail, Imran Siddiqi, Usman Akram:
PCG classification through spectrogram using transfer learning. Biomed. Signal Process. Control. 79(Part): 104075 (2023) - [j71]Syeda Noor-Ul-Huda Safder, Muhammad Usman Akram, Muhammad Najam Dar, Aliya Ashraf Khan, Sajid Gul Khawaja, Ahmed Rauf Subhani, Imran Khan Niazi, Sarah Gul:
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain. Biomed. Signal Process. Control. 83: 104605 (2023) - [j70]Asad Mansoor Khan, Muhammad Usman Akram, Sajid Nazir, Taimur Hassan, Sajid Gul Khawaja, Tatheer Fatima:
Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning. Biomed. Signal Process. Control. 85: 104855 (2023) - [j69]Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram:
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks. Comput. Biol. Medicine 156: 106668 (2023) - [j68]Taimur Hassan, Zhu Li, Muhammad Usman Akram, Irfan Hussain, Kinda Khalaf, Naoufel Werghi:
Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy. Inf. Fusion 92: 404-419 (2023) - [c87]Ammara Nasim, Divya Velayudhan, Abdelfatah Hassan Ahmed, Taimur Hassan, Samet Akcay, Muhammad Usman Akram, Naoufel Werghi:
Incremental Instance Segmentation for Cluttered Baggage Threat Detection. CIVEMSA 2023: 1-6 - [c86]Aaisha Javed, Muhammad Usman Akram, Norah Saleh Alghamdi:
Signal Processing and Deep Learning Based Smartwatch Photoplethysmography Data Classification of Atrial Fibrillation, Premature Atrial and Ventricular Contraction. CoDIT 2023: 18-23 - [i8]Hina Raja, Taimur Hassan, Bilal Hassan, Muhammad Usman Akram, Hira Raja, Alaa A. Abd-alrazaq, Siamak Yousefi, Naoufel Werghi:
A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions. CoRR abs/2311.13710 (2023) - 2022
- [j67]Tahira Iqbal, Arslan Shaukat, Muhammad Usman Akram, Abdul Wahab Muzaffar, Zartasha Mustansar, Yung-Cheol Byun:
A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset. IEEE Access 10: 27670-27683 (2022) - [j66]Ayesha Sadiq, Sajid Gul Khawaja, Muhammad Usman Akram, Norah Saleh Alghamdi, Aimal Khan, Arsalan Shaukat:
Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification. IEEE Access 10: 40506-40516 (2022) - [j65]Muhammad Najam Dar, Muhammad Usman Akram, Yuvaraj Rajamanickam, Sajid Gul Khawaja, M. Murugappan:
EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning. Comput. Biol. Medicine 144: 105327 (2022) - [j64]Shahid Ismail Malik, Imran Siddiqi, Usman Akram:
Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor. Comput. Biol. Medicine 145: 105470 (2022) - [j63]Taimur Hassan, Muhammad Shafay, Bilal Hassan, Muhammad Usman Akram, Ayman Elbaz, Naoufel Werghi:
Knowledge distillation driven instance segmentation for grading prostate cancer. Comput. Biol. Medicine 150: 106124 (2022) - [j62]Joddat Fatima, Mashood Mohammad Mohsan, Amina Jameel, Muhammad Usman Akram, Adeel Muzaffar Syed:
Vertebrae localization and spine segmentation on radiographic images for feature-based curvature classification for scoliosis. Concurr. Comput. Pract. Exp. 34(26) (2022) - [j61]S. Zainab Yousuf Zaidi, M. Usman Akram, Amina Jameel, Norah Saleh Alghamdi:
A deep learning approach for the classification of TB from NIH CXR dataset. IET Image Process. 16(3): 787-796 (2022) - [j60]Malaika Mushtaq, Muhammad Usman Akram, Norah Saleh Alghamdi, Joddat Fatima, Rao Farhat Masood:
Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models. Sensors 22(4): 1547 (2022) - [j59]Asad Mansoor Khan, Taimur Hassan, Muhammad Usman Akram, Norah Saleh Alghamdi, Naoufel Werghi:
Continual Learning Objective for Analyzing Complex Knowledge Representations. Sensors 22(4): 1667 (2022) - [j58]Amna Waheed Awan, Syed Muhammad Usman, Shehzad Khalid, Aamir Anwar, Roobaea Alroobaea, Saddam Hussain, Jasem Almotiri, Syed Sajid Ullah, Muhammad Usman Akram:
An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals. Sensors 22(23): 9480 (2022) - [c85]Aon Safdar, Farooque Azam, Muhammad Waseem Anwar, Usman Akram, Yawar Rasheed:
MoDLF: a model-driven deep learning framework for autonomous vehicle perception (AVP). MoDELS 2022: 187-198 - [c84]Dania Shafique, Muhammad Usman Akram, Taimur Hassan, Tahira Anwar, Anum Abdul Salam:
Dilated Convolution and Residual Network based Convolutional Neural Network for Recognition of Disastrous Events. ROSE 2022: 1-8 - [i7]Mehreen Sirshar, Taimur Hassan, Muhammad Usman Akram, Shoab Ahmed Khan:
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs. CoRR abs/2201.02574 (2022) - 2021
- [j57]Saria Safdar, Shoab Ahmed Khan, Arslan Shaukat, M. Usman Akram:
Genetic Algorithm Based Automatic Out-Patient Experience Management System (GAPEM) Using RFIDs and Sensors. IEEE Access 9: 8961-8976 (2021) - [j56]S. Zainab Yousuf Zaidi, M. Usman Akram, Amina Jameel, Norah Saleh Alghamdi:
Lung Segmentation-Based Pulmonary Disease Classification Using Deep Neural Networks. IEEE Access 9: 125202-125214 (2021) - [j55]Tahira Iqbal, Arslan Shaukat, Muhammad Usman Akram, Zartasha Mustansar, Aimal Khan:
Automatic Diagnosis of Pneumothorax From Chest Radiographs: A Systematic Literature Review. IEEE Access 9: 145817-145839 (2021) - [j54]Bilal Hassan, Shiyin Qin, Taimur Hassan, Muhammad Usman Akram, Ramsha Ahmed, Naoufel Werghi:
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans. Biomed. Signal Process. Control. 70: 103030 (2021) - [j53]Mehreen Sirshar, Taimur Hassan, Muhammad Usman Akram, Shoab Ahmed Khan:
An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs. Comput. Biol. Medicine 134: 104435 (2021) - [j52]Shahid Ismail Malik, Usman Akram, Imran Siddiqi:
Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review. EURASIP J. Adv. Signal Process. 2021(1): 5 (2021) - [j51]Joddat Fatima, Muhammad Usman Akram, Amina Jameel, Adeel Muzaffar Syed:
Spinal vertebrae localization and analysis on disproportionality in curvature using radiography - a comprehensive review. EURASIP J. Image Video Process. 2021(1): 23 (2021) - [j50]Samina Khalid, Muhammad Usman Akram, Tehmina Shehryar, Waqas Ahmed, Marium Sadiq, Mahak Manzoor, Nelam Nosheen:
Automated diagnosis system for age-related macular degeneration using hybrid features set from fundus images. Int. J. Imaging Syst. Technol. 31(1): 236-252 (2021) - [j49]Tehmina Khalil, Muhammad Usman Akram, Samina Khalid, Saadat Hanif Dar, Nouman Ali:
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage. Int. J. Imaging Syst. Technol. 31(3): 1155-1173 (2021) - [j48]Hina Raja, M. Usman Akram, Arslan Shaukat, Shoab Ahmed Khan, Norah Saleh Alghamdi, Sajid Gul Khawaja, Muhammad Noman Nazir:
Correction to: Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis. J. Digit. Imaging 34(4): 1072 (2021) - [j47]Nusratullah Khan, Muhammad Usman Akram, Asadullah Shah, Norah Saleh Alghamdi, Shoab Ahmed Khan:
Capturing the real customer experience based on the parameters in the call detail records. Multim. Tools Appl. 80(18): 28439-28461 (2021) - [j46]Hina Raja, Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi:
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression. IEEE Trans. Biomed. Eng. 68(7): 2140-2151 (2021) - [j45]Taimur Hassan, Bilal Hassan, Muhammad Usman Akram, Shahrukh Hashmi, Abdel Hakim Taguri, Naoufel Werghi:
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j44]Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi, Muhammad Noman Nazir:
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology. IEEE J. Biomed. Health Informatics 25(1): 108-120 (2021) - [c83]Muhammad Mohsin, Arslan Shaukat, Usman Akram, Muhammad Kaab Zarrar:
Automatic Prostate Cancer Grading Using Deep Architectures. AICCSA 2021: 1-8 - [i6]Taimur Hassan, Bilal Hassan, Muhammad Usman Akram, Shahrukh Hashmi, Abdel Hakim Taguri, Naoufel Werghi:
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning. CoRR abs/2110.09319 (2021) - 2020
- [j43]Hina Raja, M. Usman Akram, Arslan Shaukat, Shoab Ahmed Khan, Norah Saleh Alghamdi, Sajid Gul Khawaja, Muhammad Noman Nazir:
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis. J. Digit. Imaging 33(6): 1428-1442 (2020) - [j42]Seong Oun Hwang, Sansanee Auephanwiriyakul, Muhammad Usman Akram, Bok-Min Goi, Chee Seng Chan:
Special issue on "Green and Human Information Technology 2019". Neural Comput. Appl. 32(17): 13077-13078 (2020) - [j41]Muhammad Najam Dar, Muhammad Usman Akram, Sajid Gul Khawaja, Amit N. Pujari:
CNN and LSTM-Based Emotion Charting Using Physiological Signals. Sensors 20(16): 4551 (2020) - [j40]Ladislav Stanke, Jan Kubícek, Dominik Vilimek, Marek Penhaker, Martin Cerný, Martin Augustynek, Nikola Slaninova, Muhammad Usman Akram:
Towards to Optimal Wavelet Denoising Scheme - A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing. Sensors 20(18): 5301 (2020) - [c82]Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi:
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions. BIBE 2020: 577-581 - [c81]Bushra Khalid, Muhammad Usman Akram, Asad Mansoor Khan:
Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visible and Thermal Images. ICISP 2020: 138-147 - [c80]Abid Sohail, Sehar Zia, Abdul Qayyum Khan, Muhammad Shahid Bhatti, Muhammad Usman Akram:
From Enhanced ER to Multidimensional Model: A Methodology for Data Warehouse Design. SOFA 2020: 477-485 - [i5]Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi:
Evaluation of Deep Segmentation Models for the Extraction of Retinal Lesions from Multi-modal Retinal Images. CoRR abs/2006.02662 (2020) - [i4]Asad Mansoor Khan, Ayesha Sadiq, Sajid Gul Khawaja, Muhammad Usman Akram, Ali Saeed Khan:
Physical Action Categorization using Signal Analysis and Machine Learning. CoRR abs/2008.06971 (2020) - [i3]Hina Raja, Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi:
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression. CoRR abs/2010.03872 (2020) - [i2]Tahira Iqbal, Arslan Shaukat, Usman Akram:
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review. CoRR abs/2012.11214 (2020) - [i1]Tahira Iqbal, Arslan Shaukat, Usman Akram, Zartasha Mustansar, Yung-Cheol Byun:
A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax using Class-Imbalanced Chest X-rays Dataset. CoRR abs/2012.11911 (2020)
2010 – 2019
- 2019
- [j39]Tahira Nazir, Aun Irtaza, Zain Shabbir, Ali Javed, Usman Akram, Muhammad Tariq Mahmood:
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines. Artif. Intell. Medicine 99 (2019) - [j38]Shahid Ismail Malik, Muhammad Usman Akram, Imran Siddiqi:
Localization and classification of heartbeats using robust adaptive algorithm. Biomed. Signal Process. Control. 49: 57-77 (2019) - [j37]Taimur Hassan, Muhammad Usman Akram, M. Furqan Masood, Ubaidullah Yasin:
Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans. Comput. Biol. Medicine 105: 112-124 (2019) - [j36]Aneeqa Ramzan, Muhammad Usman Akram, Arslan Shaukat, Sajid Gul Khawaja, Ubaidullah Yasin, Wasi Haider Butt:
Automated glaucoma detection using retinal layers segmentation and optic cup-to-disc ratio in optical coherence tomography images. IET Image Process. 13(3): 409-420 (2019) - [j35]Ibtihaj Ahmad, Farhan Hussain, Shoab Ahmad Khan, Usman Akram, Gwanggil Jeon:
CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI. J. Intell. Fuzzy Syst. 36(5): 4153-4164 (2019) - [j34]Fozia Noor, Muhammad Usman Akram, Asadullah Shah, Shoab Ahmad Khan:
Key individual identification using dimensional relevance in the stratum of networks. J. Intell. Fuzzy Syst. 37(2): 2153-2167 (2019) - [j33]Amna Tehreem, Sajid Gul Khawaja, Asad Mansoor Khan, Muhammad Usman Akram, Shoab Ahmed Khan:
Multiprocessor architecture for real-time applications using mean shift clustering. J. Real Time Image Process. 16(6): 2233-2246 (2019) - [j32]Fozia Noor, Asadullah Shah, M. Usman Akram, Shoab Ahmad Khan:
Deployment of social nets in multilayer model to identify key individuals using majority voting. Knowl. Inf. Syst. 58(1): 113-137 (2019) - [c79]Arslan Shaukat, Ammar Younis, Usman Akram, Muhammad Mohsin, Zartasha Mustansar:
Towards Automatic Recognition of Sounds Observed in Daily Living Activity. ICCI*CC 2019: 66-74 - [c78]Arslan Shaukat, Ammar Younis, Usman Akram, Muhammad Mohsin, Zartasha Mustansar:
Towards Automatic Recognition of Sounds Observed in Daily Living Activity. ICCI*CC 2019: 66-74 - [c77]Hina Raja, M. Usman Akram, Aneeqa Ramzan, Tehmina Khalil, Amtul Aziz, Hira Raja:
A Framework for Extraction of Inner Limiting Membrane in High Speckle Noisy Images. CoDIT 2019: 326-331 - [c76]Tayyaba Rasool, Wasi Haider Butt, Arslan Shaukat, M. Usman Akram:
Multi-Label Fake News Detection using Multi-layered Supervised Learning. ICCAE 2019: 73-77 - [c75]Asad Mansoor Khan, Muhammad Usman Akram, Sajid Gul Khawaja, Ali Saeed Khan:
A Machine Learning Technique to Classify LSST Observed Astronomical Objects Based on Photometric Data. SDS 2019: 46-50 - 2018
- [j31]Tehmina Khalil, M. Usman Akram, Hina Raja, Amina Jameel, Imran Basit:
Detection of Glaucoma Using Cup to Disc Ratio From Spectral Domain Optical Coherence Tomography Images. IEEE Access 6: 4560-4576 (2018) - [j30]Taimur Hassan, Muhammad Usman Akram, Arslan Shaukat, Sajid Gul Khawaja, Bilal Hassan:
Structure Tensor Graph Searches Based Fully Automated Grading and 3D Profiling of Maculopathy From Retinal OCT Images. IEEE Access 6: 44644-44658 (2018) - [j29]Adeel Muzaffar Syed, M. Usman Akram, Tahir Akram, Muhammad Muzammal, Shehzad Khalid, Muazzam Ahmed Khan:
Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization. IEEE Access 6: 58784-58793 (2018) - [j28]Shahzad Akbar, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, Shoab Ahmad Khan:
Decision support system for detection of hypertensive retinopathy using arteriovenous ratio. Artif. Intell. Medicine 90: 15-24 (2018) - [j27]Shahzad Akbar, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, Ubaidullah Yasin:
Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy. Comput. Methods Programs Biomed. 154: 123-141 (2018) - [j26]Qurat-ul-Ain Mubarak, Muhammad Usman Akram, Arslan Shaukat, Farhan Hussain, Sajid Gul Khawaja, Wasi Haider Butt:
Analysis of PCG signals using quality assessment and homomorphic filters for localization and classification of heart sounds. Comput. Methods Programs Biomed. 164: 143-157 (2018) - [j25]Shahid Ismail Malik, Imran Siddiqi, Usman Akram:
Localization and classification of heart beats in phonocardiography signals - a comprehensive review. EURASIP J. Adv. Signal Process. 2018: 26 (2018) - [j24]Samina Khalid, M. Usman Akram, Taimur Hassan, Amina Jameel, Tehmina Khalil:
Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD. J. Digit. Imaging 31(4): 464-476 (2018) - [j23]Taimur Hassan, M. Usman Akram, Mahmood Akhtar, Shoab Ahmad Khan, Ubaidullah Yasin:
Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula. J. Medical Syst. 42(11): 223 (2018) - [j22]Hassan Mushtaq, Sajid Gul Khawaja, Muhammad Usman Akram, Amanullah Yasin, Muhammad Muzammal, Shehzad Khalid, Shoab Ahmad Khan:
A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare. Sensors 18(12): 4129 (2018) - [j21]Uzma Jamil, Shehzad Khalid, M. Usman Akram, Awais Ahmad, Sohail Jabbar:
Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques. Soft Comput. 22(5): 1577-1593 (2018) - [c74]Muhammad Ammar, Sajid Gul Khawaja, Abeera Atif, Muhammad Usman Akram, Muntaha Sakeena:
Learning Based Segmentation of Skin Lesion from Dermoscopic Images. HealthCom 2018: 1-6 - [c73]Taimur Hassan, Anam Usman, M. Usman Akram, M. Furqan Masood, Ubaidullah Yasin:
Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities. HealthCom 2018: 1-5 - [c72]Muhammad Majid Sharif, Muhammad Usman Akram, Asad Waqar Malik:
Extraction and Analysis of RPE layer from OCT Images for Detection of Age Related Macular Degeneration. HealthCom 2018: 1-6 - [c71]Rabia Rashid, Muhammad Usman Akram, Taimur Hassan:
Fully Convolutional Neural Network for Lungs Segmentation from Chest X-Rays. ICIAR 2018: 71-80 - [c70]Taimur Hassan, M. Usman Akram, M. Furqan Masood, Ubaidullah Yasin:
BIOMISA Retinal Image Database for Macular and Ocular Syndromes. ICIAR 2018: 695-705 - [c69]Jawairia Rasheed, Usman Akram, Ahmed Kamran Malik:
Terrorist Network Analysis and Identification of Main Actors Using Machine Learning Techniques. ICIT 2018: 7-12 - 2017
- [j20]Tehmina Khalil, Muhammad Usman Akram, Samina Khalid, Amina Jameel:
Improved automated detection of glaucoma from fundus image using hybrid structural and textural features. IET Image Process. 11(9): 693-700 (2017) - [j19]Shahzad Akbar, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, Ubaidullah Yasin:
Decision Support System for Detection of Papilledema through Fundus Retinal Images. J. Medical Syst. 41(4): 66:1-66:16 (2017) - [j18]Saima Shaheen, M. Usman Akram, Aasia Khanum, Shoab Ahmad Khan, M. Younas Javed:
A cross layer error control scheme for efficient WLAN multimedia streaming. Multim. Tools Appl. 76(5): 6663-6682 (2017) - [c68]Muhammad Adnan Hashmi, Muhammad Usman Akram, Amal El Fallah Seghrouchni:
PLACE: Planning Based Language for Agents and Computational Environments. EMAS@AAMAS 2017: 142-158 - [c67]Hafiz Adnan Niaz, M. Usman Akram, Muazzam A. Khan, Anam Usman, Awais Rafique:
A Study on Word Spotting Techniques for Document Image Analysis. ICMSSP 2017: 17-21 - [c66]Muhammad Tahir Farooq, Arslan Shaukat, Usman Akram, Omer Waqas, Masood Ahmad:
Automatic gleason grading of prostate cancer using Gabor filter and local binary patterns. TSP 2017: 642-645 - 2016
- [j17]Zahra Waheed, M. Usman Akram, Amna Waheed, Muazzam Ali Khan, Arslan Shaukat, Mazhar Ishaq:
Person identification using vascular and non-vascular retinal features. Comput. Electr. Eng. 53: 359-371 (2016) - [j16]Adeel M. Syed, Taimur Hassan, M. Usman Akram, Samra Naz, Shehzad Khalid:
Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces. Comput. Methods Programs Biomed. 137: 1-10 (2016) - [j15]Sajid Gul Khawaja, M. Usman Akram, Shoab Ahmed Khan, Arslan Shaukat, Saad Rehman:
Network-on-Chip based MPSoC architecture for k-mean clustering algorithm. Microprocess. Microsystems 46: 1-10 (2016) - [j14]Saima Shaheen, Aasia Khanum, M. Usman Akram, Shoab Ahmad Khan, SangHyun Seo, M. Younas Javed:
Evaluating the significance of error checksums for wireless video streaming. Multim. Tools Appl. 75(22): 14759-14781 (2016) - [c65]Muhammad Asif, Shoab Ahmed Khan, Taimur Hassan, M. Usman Akram, Arslan Shaukat:
Generation of High Resolution Medical Images Using Super Resolution via Sparse Representation. AECIA 2016: 288-298 - [c64]Sajid Gul Khawaja, Asad Mansoor Khan, M. Usman Akram, Shoab Ahmed Khan:
A Novel Architecture for k-means Clustering Algorithm. AECIA 2016: 311-320 - [c63]Muhammad Aziz Ul Haq, Hammid Mehmood Allahdita Kamboh, Usman Akram, Amer Sohail, Hifsa Iram:
Indoor Localization Using Improved Multinomial Naïve Bayes Technique. AECIA 2016: 321-329 - [c62]Albab Ahmad Khan, M. Usman Akram, Ahmad Tariq, Faraz Tahir, Kamran Wazir:
Automated Computer Aided Detection of Cataract. AECIA 2016: 340-349 - [c61]Mubashira Zaman, Soweba Rahman, Tooba Rafique, Filza Ali, Muhammad Usman Akram:
Hand Gesture Recognition Using Color Markers. HIS 2016: 1-10 - [c60]Anum Mehmood, M. Usman Akram, Mahmood Akhtar, Anam Usman:
Separation of Vertebrae Regions from Cervical Radiographs Using Inter-Vertebra Distance and Orientation. HIS 2016: 29-37 - [c59]Sumaiyya Farooq, Shoab Ahmed Khan, M. Usman Akram:
1D Signal Processing for Improvement of People Counting Estimation Results. HIS 2016: 319-328 - [c58]Sajid Gul Khawaja, Amna Tehreem, M. Usman Akram, Shoab Ahmed Khan:
Multicore Framework for Finding Frequent Item-Sets Using TDS. HIS 2016: 340-349 - [c57]Afza Kazmi, Muazzam Ali Khan, M. Usman Akram:
DeVANET: Decentralized Software-Defined VANET Architecture. IC2E Workshops 2016: 42-47 - [c56]Umair Zafar Khan, Muhammad Usman Akram, Ali Hassan, Arslan Shaukat, Muhammad Kashan Basit, Abdul Wahid:
Detection of Acoustic Events by using MFCC and Spectro-Temporal Gabor Filterbank Features. ICSPS 2016: 158-164 - [c55]Muhammad Kashan Basit, Arslan Shaukat, Usman Akram, Umair Zafar Khan:
Unsupervised Neural Network optimized with Sequential Quadratic Programming for Linear and Non-Linear Dynamical Systems. ICSPS 2016: 183-188 - [c54]Samra Naz, Aneeqa Ahmed, M. Usman Akram, Shoab Ahmad Khan:
Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images. IPTA 2016: 1-4 - [c53]Uzma Jamil, Shehzad Khalid, M. Usman Akram:
Digital image preprocessing and hair artifact removal by using Gabor wavelet. ISOCC 2016: 215-216 - [c52]Zahra Noor, Muhammad Usman Akram, Mahmood Akhtar, Muhammad Saad:
Facial Texture Analysis for Recognition of Human Gender. KSEM 2016: 134-145 - 2015
- [j13]Saima Shaheen, Muhammad Younus Javed, Muid Mufti, Shehzad Khalid, Aasia Khanum, Shoab Ahmad Khan, M. Usman Akram:
A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation. Int. J. Distributed Sens. Networks 11: 539838:1-539838:8 (2015) - [j12]Sheeraz Akram, Muhammad Younus Javed, Ayyaz Hussain, Farhan Riaz, M. Usman Akram:
Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques. J. Exp. Theor. Artif. Intell. 27(6): 737-751 (2015) - [j11]Amna Waheed, M. Usman Akram, Shehzad Khalid, Zahra Waheed, Muazzam Ali Khan, Arslan Shaukat:
Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels. J. Medical Syst. 39(10): 128:1-128:14 (2015) - [j10]Amna Waheed, Zahra Waheed, Muhammad Usman Akram, Arslan Shaukat:
Removal of False Blood Vessels Using Shape Based Features and Image Inpainting. J. Sensors 2015: 839894:1-839894:13 (2015) - [j9]Shehzad Khalid, M. Usman Akram, Shahid Razzaq:
Behaviour recognition using multivariate m-mediod based modelling of motion trajectories. Multim. Syst. 21(5): 485-505 (2015) - [c51]Anum Abdul Salam, M. Usman Akram, Sarmad Abbas Khitran, Syed Muhammad Anwar:
Optic disc localization using local vessel based features and support vector machine. BIBE 2015: 1-6 - [c50]Faisal Rehman, M. Usman Akram, Kunwar Faraz, Muhammad Naveed Riaz:
Human identification using dental biometric analysis. DICTAP 2015: 96-100 - [c49]M. Usman Akram, Daniyal Usmani, Tanveer Ahmad, Sarmad Abbas Khitran, Syeda Fouzia Noor:
Seamless Fundus image stitching using WLD to improve field of view. DICTAP 2015: 106-110 - [c48]Sidra Rashid, Usman Akram, Shoab Ahmed Khan:
WML: Wireless Sensor Network based Machine Learning for Leakage Detection and Size Estimation. EUSPN/ICTH 2015: 171-176 - [c47]Amna Pir Muhammad, M. Usman Akram, Muazzam Ali Khan:
Survey Based Analysis of Internet of Things Based Architectural Framework for Hospital Management System. FIT 2015: 271-276 - [c46]Amna Pir, M. Usman Akram, Muazzam Ali Khan:
Internet of things based context awareness architectural framework for HMIS. HealthCom 2015: 55-60 - [c45]Samra Irshad, M. Usman Akram, Sara Ayub, Anaum Ayaz:
Retinal Blood Vessels Differentiation for Calculation of Arterio-Venous Ratio. ICIAR 2015: 411-418 - [c44]Syed Osama Maruf, M. Usama Azhar, Sajid Gul Khawaja, M. Usman Akram:
Crackle separation and classification from normal Respiratory sounds using Gaussian Mixture Model. ICIIS 2015: 267-271 - [c43]Muhammad Najam Dar, M. Usman Akram, Arslan Shaukat, Muazzam Ali Khan:
ECG Based Biometric Identification for Population with Normal and Cardiac Anomalies Using Hybrid HRV and DWT Features. ICITCS 2015: 1-5 - [c42]Khush Naseeb Fatima, M. Usman Akram, Shafaat A. Bazaz:
Papilledema Detection in Fundus Images Using Hybrid Feature Set. ICITCS 2015: 1-4 - [c41]Arslan Shaukat, Mansoor Aziz, M. Usman Akram:
Facial Expression Recognition Using Multiple Feature Sets. ICITCS 2015: 1-5 - [c40]Zahra Waheed, M. Usman Akram, Amna Waheed, Arslan Shaukat:
Robust extraction of blood vessels for retinal recognition. InfoSec 2015: 1-4 - [c39]Muhammad Najam Dar, M. Usman Akram, Anam Usman, Shoab Ahmad Khan:
ECG biometric identification for general population using multiresolution analysis of DWT based features. InfoSec 2015: 5-10 - [c38]Madiha Tahir, M. Usman Akram:
Online signature verification using hybrid features. InfoSec 2015: 11-16 - [c37]Anum Abdul Salam, M. Usman Akram, Kamran Wazir, Syed Muhammad Anwar, Muhammad Majid:
Autonomous Glaucoma detection from fundus image using cup to disc ratio and hybrid features. ISSPIT 2015: 370-374 - [c36]Sadaf Sahar, Sadaf Ayaz, M. Usman Akram:
A Case Study Approach: Iterative Prototyping Model Based Detection of Macular Edema in Retinal OCT Images. SEKE 2015: 266-271 - [c35]Muhammad Adnan Hashmi, Amal El Fallah Seghrouchni, Muhammad Usman Akram:
A Planning Based Agent Programming Language Supporting Environment Modeling. WI-IAT (2) 2015: 76-83 - 2014
- [j8]M. Usman Akram, Shehzad Khalid, Anam Tariq, Shoab Ahmad Khan, Farooque Azam:
Detection and classification of retinal lesions for grading of diabetic retinopathy. Comput. Biol. Medicine 45: 161-171 (2014) - [j7]M. Usman Akram, Anam Tariq, Shoab Ahmad Khan, Muhammad Younus Javed:
Automated detection of exudates and macula for grading of diabetic macular edema. Comput. Methods Programs Biomed. 114(2): 141-152 (2014) - [c34]Aniqa Azam, M. Usman Akram, Usman Qamar:
Optic Disc Segmentation from Colored Retinal Images Using Vessel Density. FIT 2014: 313-318 - [c33]Daniyal Usmani, Tanveer Ahmad, M. Usman Akram, Abdullah Danyal Saeed:
Fundus image mosaic generation for large field of view. HIS 2014: 30-34 - [c32]Faraz Tahir, M. Usman Akram, Mujahid Abbass, Albab Ahmad Khan:
Laser marks detection from fundus images. HIS 2014: 147-151 - [c31]Saima Waseem, M. Usman Akram, Bilal Ashfaq Ahmed:
Drusen exudate lesion discrimination in colour fundus images. HIS 2014: 176-180 - [c30]Anam Usman, Sarmad Abbas Khitran, M. Usman Akram, Yasser Nadeem:
A Robust Algorithm for Optic Disc Segmentation from Colored Fundus Images. ICIAR (2) 2014: 303-310 - [c29]M. Usman Akram, Sarmad Abbas Khitran, Anam Usman, Ubaidullah Yasin:
Detection of Hemorrhages in Colored Fundus Images Using Non Uniform Illumination Estimation. ICIAR (2) 2014: 329-336 - [c28]Muhammad Usman, Usman Akram:
Ensuring Data Security by AES for Global Software Development in Cloud Computing. ICITCS 2014: 1-7 - [c27]Sadaf Ayaz, Sadaf Sahar, Madeeha Zafar, Muhammad Usman Akram, Yasser Nadeem:
Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer. ICONIP (3) 2014: 226-233 - [c26]Ali Haider, M. Daniyal Ashraf, M. Usama Azhar, Syed Osama Maruf, Mehdi Naqvi, Sajid Gul Khawaja, M. Usman Akram:
Separation and Classification of Crackles and Bronchial Breath Sounds from Normal Breath Sounds Using Gaussian Mixture Model. ICONIP (2) 2014: 495-502 - [c25]Hassan Wahab, Syed Rizwan Haider, Sarmad Abbas Khitran, Noor ul Huda, M. Usman Akram:
Bright region and vessel density based robust optic disc segmentation. IPTA 2014: 81-86 - [c24]Muhammad Usman Akram, Hassan Moatasam Awan, Abdullah Aman Khan:
Dorsal hand veins based person identification. IPTA 2014: 289-294 - [c23]Sarmad Abbas Khitran, M. Usman Akram, Anam Usman, Ubaidullah Yasin:
Automated system for the detection of hypertensive retinopathy. IPTA 2014: 333-338 - [c22]Sidra Rashid, Usman Akram, Saad B. Qaisar, Shoab Ahmed Khan, Emad A. Felemban:
Wireless Sensor Network for Distributed Event Detection Based on Machine Learning. iThings/GreenCom/CPSCom 2014: 540-545 - 2013
- [j6]M. Usman Akram, Shehzad Khalid, Anam Tariq, Muhammad Younus Javed:
Detection of neovascularization in retinal images using multivariate m-Mediods based classifier. Comput. Medical Imaging Graph. 37(5-6): 346-357 (2013) - [j5]M. Usman Akram, Shoab Ahmad Khan:
Multilayered thresholding-based blood vessel segmentation for screening of diabetic retinopathy. Eng. Comput. 29(2): 165-173 (2013) - [j4]Anam Tariq, M. Usman Akram, Arslan Shaukat, Shoab Ahmad Khan:
Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images. J. Digit. Imaging 26(4): 803-812 (2013) - [j3]M. Usman Akram, Shehzad Khalid, Shoab Ahmad Khan:
Identification and classification of microaneurysms for early detection of diabetic retinopathy. Pattern Recognit. 46(1): 107-116 (2013) - [c21]Anam Tariq, M. Usman Akram, Muhammad Younus Javed:
Computer aided diagnostic system for grading of diabetic retinopathy. CIMI 2013: 30-35 - [c20]Anam Tariq, M. Usman Akram, Muhammad Younus Javed:
Lung nodule detection in CT images using neuro fuzzy classifier. CIMI 2013: 49-53 - 2012
- [j2]M. Usman Akram, Shoab Ahmad Khan:
Automated Detection of Dark and Bright Lesions in Retinal Images for Early Detection of Diabetic Retinopathy. J. Medical Syst. 36(5): 3151-3162 (2012) - [c19]M. Usman Akram, Ibaa Jamal, Anam Tariq, Junaid Imtiaz:
Automated segmentation of blood vessels for detection of proliferative diabetic retinopathy. BHI 2012: 232-235 - [c18]Tatiana Smirnova, Usman Akram, Jelena Markovic, Tonima Mukherjee, Imran Ahmad, Abdullah Feroz, Nikitia Mehta, Sahar Vahadatii, Ekaterina Sirazitdinova, Elyas Esnaashari, Masood Azizi, Nils Jeners, Wolfgang Gräther, Vo Gunal, Emrah Ozkan, Lusine Stepanyan, Nasim Khadem:
Light CS cooperation/coordination - a Lightweight Collaboration Suite for Groupware. CollaborateCom 2012: 635-642 - [c17]M. Usman Akram, Anam Tariq, Shoab Ahmad Khan:
Detection of Neovascularization for Screening of Proliferative Diabetic Retinopathy. ICIAR (2) 2012: 372-379 - [c16]Muhammad Usman Akram, Mahmood Akhtar, Muhammad Younus Javed:
An Automated System for the Grading of Diabetic Maculopathy in Fundus Images. ICONIP (4) 2012: 36-43 - 2011
- [c15]Anam Tariq, Muhammad Usman Akram, Shoab Ahmad Khan:
An automated system for fingerprint classification using singular points for biometric security. ICITST 2011: 170-175 - [c14]Muhammad Usman Akram, Anam Tariq, Shoab Ahmad Khan:
Retinal recognition: Personal identification using blood vessels. ICITST 2011: 180-184 - 2010
- [c13]M. Usman Akram, Aftab Khan, Khalid Iqbal, Wasi Haider Butt:
Retinal Images: Optic Disk Localization and Detection. ICIAR (2) 2010: 40-49
2000 – 2009
- 2009
- [c12]Muhammad Usman Akram, Anam Tariq, Sarwat Nasir, Shoab Ahmad Khan:
Gabor wavelet based vessel segmentation in retinal images. CIIP 2009: 116-119 - [c11]M. Usman Akram, Sarwat Nasir, Muhammad Almas Anjum, Muhammad Younus Javed:
Background and Noise Extraction from Colored Retinal Images. CSIE (6) 2009: 573-577 - [c10]M. Usman Akram, Anam Tariq:
Automated optic disk localization and detection in colored retinal images. FIT 2009: 36:1-36:5 - [c9]M. Usman Akram, Ali Atzaz, S. Farrukh Aneeque, Shoab Ahmad Khan:
Blood Vessel Enhancement and Segmentation Using Wavelet Transform. ICDIP 2009: 34-38 - [c8]Muhammad Arif, Fayyaz A. Afsar, Muhammad Usman Akram, Adnan Fida:
Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem. PAKDD 2009: 491-498 - [c7]Muhammad Arif, Muhammad Usman Akram, Fayyaz A. Afsar:
Arrhythmia Beat Classification Using Pruned Fuzzy K-Nearest Neighbor Classifier. SoCPaR 2009: 37-42 - 2008
- [j1]M. Usman Akram, Anam Tariq, Shoab Ahmad Khan, Sarwat Nasir:
Fingerprint image: pre- and post-processing. Int. J. Biom. 1(1): 63-80 (2008) - [c6]M. Usman Akram, Anam Tariq, Sarwat Nasir, Assia Khanam:
Core point detection using improved segmentation and orientation. AICCSA 2008: 637-644 - [c5]Rabia Anwar, M. Usman Akram, Rabia Arshad, Muhammad Umer Munir:
A Modified Singular Point Detection Algorithm. ICIAR 2008: 905-914 - [c4]Anam Tariq, M. Usman Akram, Sarwat Nasir, Rabia Arshad:
Fingerprint Image Postprocessing Using Windowing Technique. ICIAR 2008: 915-924 - [c3]M. Usman Akram, Anam Tariq, Shahida Jabeen, Shoab Ahmad Khan:
Fingerprint Image Segmentation Based on Boundary Values. VISAPP (1) 2008: 134-138 - [c2]M. Usman Akram, Rabia Arshad, Rabia Anwar, Shoab Ahmad Khan, Sarwat Nasir:
Core Point Detection Using Fine Orientation Field Estimation. VISAPP (1) 2008: 351-356 - [c1]M. Usman Akram, Irfan Zafar, Wasim Siddique Khan, Zohaib Mushtaq:
Facial Expression Recognition Based on Fuzzy Logic. VISAPP (1) 2008: 383-388
Coauthor Index
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