Publications

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13 publications

2020

Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.
Hassan, Taimur, Muhammad Usman Akram, and Naoufel Werghi.
In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 577-581. IEEE, 2020.

2019

Conference ProceedingsMachine Learning & Deep LearningData Analytics
A Machine Learning Technique to Classify LSST Observed Astronomical Objects Based on Photometric Data
Khan, A. M., Akram, M. U., Khawaja, S. G., & Khan, A. S. (2019, June).
In 2019 6th Swiss Conference on Data Science (SDS) (pp. 46-50). IEEE.
Conference ProceedingsMachine Learning & Deep Learning
Person detection by fusion of visible and thermal images using convolutional neural network
Khalid, B., Khan, A. M., Akram, M. U., & Batool, S. (2019, March).
In 2019 2nd International Conference on Communication, Computing and Digital systems (C-CODE) (pp. 143-148). IEEE.

2018

Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities
Taimur Hassan, M. Usman Akram, Anam Tariq, Furqan Masood, Ubaid ullah Yasin,
accepted in 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), 17-20 Sept 2018, Czech Republic

2016

Conference ProceedingsMachine Learning & Deep Learning
Implementation and evaluation of optimized algorithm for software architectures analysis through unsupervised learning (clustering).
Khan, Qadeem, Usman Akram, Wasi Haider Butt, and Saad Rehman.
In Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2016 17th International Conference on, pp. 266-276. IEEE, 2016.
Conference ProceedingsEmbedded SystemsMachine Learning & Deep Learning
A novel multiprocessor architecture for k-means clustering algorithm based on network-on-chip.
Khawaja, Sajid Gul, Muhammad Usman Akram, Shoab A. Khan, and Ammar Ajmal.
In Multi-Topic Conference (INMIC), 2016 19th International, pp. 1-5. IEEE, 2016.
Conference ProceedingsEmbedded SystemsMachine Learning & Deep Learning
A Novel Architecture for k-means Clustering Algorithm.
Khawaja, S. G., Asad Mansoor Khan, Usman Akram, and Shoab A. Khan.
In International Afro-European Conference for Industrial Advancement, pp. 311-320. Springer, Cham, 2016.
Conference ProceedingsMachine Learning & Deep Learning
Unsupervised Neural Network optimized with Sequential Quadratic Programming for Linear and Non-Linear Dynamical Systems.
Basit, M., Arslan Shaukat, Usman Akram, and Umair Zafar Khan.
In Proceedings of the 8th International Conference on Signal Processing Systems, pp. 183-188. ACM, 2016.
Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Differentiation of blood vessels in retina into arteries and veins using neural network.
Ayub, Lubna, Abdul samad Khan, Javeria Ayub, Sara Ayub, Usman Akram, Samra Irshad, and Imran Basit.
In Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference on, pp. 301-306. IEEE, 2016.
Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Glaucoma detection through optic disc and cup segmentation using K-mean clustering.
Ayub, Javeria, Jamil Ahmad, Jan Muhammad, Lubna Aziz, Sara Ayub, Usman Akram, and Imran Basit.
In Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference on, pp. 143-147. IEEE, 2016.

2014

Conference ProceedingsMachine Learning & Deep LearningInternet of Things
Wireless Sensor Network for Distributed Event Detection based on Machine learning
Rashid, M. Usman Akram, S. Khan,
2014 IEEE International Conference on Green Computing and Communications (GreenCom 2014), Taiwan, 2014.

2013

Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Hybrid Classifier Based Drusen Detection in Colored Fundus Images
Ghazanfer Raza, Majid Rafique, Anam Tariq, Usman Akram,
2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Jorden, Dec 2013.
Conference ProceedingsMedical ImagingArtificial IntelligenceMachine Learning & Deep Learning
Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier
Anam Tariq, Usman Akram, and M. Younus Javed,
IEEE Symposium Series on Computational Intelligence (SSCI), pp. 49-53, Singapore, 2013.

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Publications

2020

Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.

2019

A Machine Learning Technique to Classify LSST Observed Astronomical Objects Based on Photometric Data

Person detection by fusion of visible and thermal images using convolutional neural network

2018

Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities

2016

Implementation and evaluation of optimized algorithm for software architectures analysis through unsupervised learning (clustering).

A novel multiprocessor architecture for k-means clustering algorithm based on network-on-chip.

A Novel Architecture for k-means Clustering Algorithm.

Unsupervised Neural Network optimized with Sequential Quadratic Programming for Linear and Non-Linear Dynamical Systems.

Differentiation of blood vessels in retina into arteries and veins using neural network.

Glaucoma detection through optic disc and cup segmentation using K-mean clustering.

2014

Wireless Sensor Network for Distributed Event Detection based on Machine learning

2013

Hybrid Classifier Based Drusen Detection in Colored Fundus Images

Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier

2020

Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.

2019

A Machine Learning Technique to Classify LSST Observed Astronomical Objects Based on Photometric Data

Person detection by fusion of visible and thermal images using convolutional neural network

2018

Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities

2016

Implementation and evaluation of optimized algorithm for software architectures analysis through unsupervised learning (clustering).

A novel multiprocessor architecture for k-means clustering algorithm based on network-on-chip.

A Novel Architecture for k-means Clustering Algorithm.

Unsupervised Neural Network optimized with Sequential Quadratic Programming for Linear and Non-Linear Dynamical Systems.

Differentiation of blood vessels in retina into arteries and veins using neural network.

Glaucoma detection through optic disc and cup segmentation using K-mean clustering.

2014

Wireless Sensor Network for Distributed Event Detection based on Machine learning

2013

Hybrid Classifier Based Drusen Detection in Colored Fundus Images

Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier