Faculty Muhammad Naseer Bajwa

Muhammad Naseer Bajwa

Post-Doctoral Research Fellow
  • School of Electrical Engineering and Computer Science
  • 0511111118
Summary

Academic Background
PhD (Deep Learning) TU Kaiserslautern March 20, 2018 - August 03, 2022
Honours and Awards
Publications
Erklärbare KI in der medizinischen Diagnose – Erfolge und Herausforderungen March 17, 2022 Book on Künstliche Intelligenz im Gesundheitswesen - 1st Edition, Chapter 35, Pages 727-754
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions March 01, 2022 Computer Methods and Programs in Biomedicine - Volume 215, Article Number 106620
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks July 02, 2020 IEEE Access - Volume: 8, Pages 115476-115485
Computer-aided diagnosis of skin diseases using deep neural networks April 04, 2020 Applied Sciences - Volume 10(7), Article Number 2488
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning June 17, 2019 BMC Medical Informatics and Decision Making - Volume 19, Article Number 136
AVL and Monitoring for Massive Traffic Control System over DDS October 04, 2015 Mobile Information Systems - Volume 2015, Article ID 187548, 9 pages
Performance evaluation of DDS-based middleware over wireless channel for reconfigurable manufacturing systems July 15, 2015 International Journal of Distributed Sensor Networks - Volume 2015, Article ID 863123, 11 pages
Conferences
Explaining AI-Based Decision Support Systems Using Concept Localization Maps November 18, 2020 - November 22, 2020 Adriano Lucieri, Muhammad Naseer Bajwa, Andreas Dengel, Sheraz Ahmed, International Conference on Neural Information Processing
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection July 19, 2020 - July 24, 2020 Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, Proceedings of the International Joint Conference on Neural Networks
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors July 19, 2020 - July 24, 2020 Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, International Joint Conference on Neural Networks
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection October 24, 2019 - October 26, 2019 Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed, Communications in Computer and Information Science
Research Assistant DFKI GmbH December 01, 2017 - August 31, 2022
Lab Engineer CIIT, Lahore Campus August 12, 2009 - August 25, 2012