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M. Usman Akram
Muhammad Usman Akram – Usman Akram
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2020 – today
- 2024
- [j82]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) - [j81]Mohsin Ali Khan
, Arslan Shaukat
, Zartasha Mustansar
, Muhammad Usman Akram
:
Segmented 3D Lung Cube Dataset and Dual-Model Framework for COVID-19 Severity Prediction. IEEE Access 12: 172596-172609 (2024) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]Muhammad Sajid
, Ali Hassan
, Dilshad Ahmed Khan, Shoab Ahmed Khan, Asim Dilawar Bakhshi
, Muhammad Usman Akram
, Mishal Babar
, Farhan Hussain, Wadood Abdul
:
AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers. IEEE J. Biomed. Health Informatics 28(12): 7543-7552 (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 - [i10]Rabia Asghar, Arslan Shaukat, Usman Akram, Rimsha Tariq:
Classification of 4 types of White blood cell images. CoRR abs/2409.13442 (2024) - [i9]Usman Akram, Haris Vikalo:
Can Transformers In-Context Learn Behavior of a Linear Dynamical System? CoRR abs/2410.16546 (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]