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PUBLICATIONS

Conference and Journal Publications 
  • Muhammad Jamal Afridi, Arun Ross, and Erik Shapiro "On automated source selection for transfer learning in convolutional neural networks" , in Pattern Recognition, 2018

  • Muhammad Jamal Afridi, Arun Ross and Erik Shapiro "Machine Learning for Intelligent Detection and Quantification of Transplanted Cells in MRI" ISMRM, Hawaii, 2017 (Oral presentation)

  • Muhammad Jamal Afridi, Arun Ross, and Erik Shapiro, “Intelligent and Automatic In Vivo quantification of transplanted cells in MRI” ( Magnetic Resonance in Medicine, 2017)

  • Muhammad Jamal Afridi, Arun Ross and Erik Shapiro “ L-CNN: Exploiting Labeling Latency in a CNN Learning framework” Proc. of 23rd International Conference on Pattern Recognition (ICPR), (Cancun, Mexico), December 2016. 

  • Muhammad Jamal Afridi, Arun Ross, and Erik Shapiro “Absolute Quantification of Cell Transplant in MRI” Proc. of 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), (Singapore), May 2016.

  • Muhammad Jamal Afridi, Steven M. Hoffman, Arun Ross, Erik M. Shapiro, "Automatic In Vivo Detection of Transplanted Cells in MRI using Transfer Learning Paradigm," Proc. of 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), (Singapore), May 2016.

  • Yousef Atoum, Muhammad Jamal Afridi, Xiaoming Liu J. Mitchell McGrath, and Linda E Hanson, “On Developing and Enhancing Plant-Level Disease Rating Systems in Real Fields” Pattern Recognition, 2016.

  • Muhammad Jamal Afridi, Xiaoming Liu, Erik M Shapiro, and Arun Ross, “Automatic in vivo Cell Detection in MRI,” in Proc. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, October 5-9, 2015.

  • Muhammed Jamal Afridi, Matt T. Latourette, Margaret F. Bennewitz, Arun Ross, Xiaoming Liu, and Erik Shapiro, “Machine Learning Quantification of Stem Cell Transplant into Rodent Brain using MRI-based Single Cell Detection” , WMIC, 2015.

  • Muhammed Jamal Afridi, Matt T. Latourette, Margaret F. Bennewitz, Arun Ross, Xiaoming Liu, and Erik Shapiro, “Quantitative MRI-based Cell Tracking Employing Machine Learning Algorithms”, ISMRM workshop, 2015.

  • Muhammad Jamal Afridi, Matt Latourette, Margaret F Bennewitz, Arun Ross, Xiaoming Liu, and Erik M Shapiro, “Machine Learning and Computer Vision based Quantification of Cell Number in MRI-based Cell Tracking,” in Proc. Intl. Soc. Magn. Reson. Med., 23:, Toronto, Canada, June 1-5, 2015.

  • Muhammad Jamal Afridi,Xiaoming Liu, J. Mitchell McGrath, "An Automated System for Plant-level Disease Rating in Real Fields," in Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden, August 24-28, 2014 (Oral, acceptance rate 14%, Best Industrey Related Research Award runner-up (BIRPA)).

  • Muhammad Jamal Afridi, Chun Liu, Christina Chan, Seungik Baek, Xiaoming Liu, “Image Segmentation of Mesenchymal Stem Cells in Diverse Culturing Conditions,” in Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV) 2014, Steamboat Springs, CO, March 24-26, 2014.

  • M. Jamal Afridi and Muddassar Farooq, "OG-Miner: an Intelligent Health tool for achieving Millenium development goals in mHealth environments", Published at 44th Hawaii International Conference on System Sciences (HICSS), Hawaii, USA 2010.

  • M. Jamal Afridi, Ahsan Javed Awan, Javaid Iqbal, "AWG Detector: a machine learning tool for the accurate detection of Anomalies due to wind Gusts (AWG) in altitude control unit of an Aerosonde unmanned aerial vehicle ", Published in 10th International Conference on Intelligent system design and applications, ISDA 2010.

  • Ajay kumar, Jamal Afridi, Zubair Shafiq and Muddassar Farooq, "Guidelines to select Machine learning schemes for Biomedical datasets " 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics.

  • Muhammad Jamal Afridi, Salman Manzoor, Umer Rasheed, Mariam Ahmed and K.Faraz "Performance Evaluation of Evolutionary classifiers for road detection" Genetic and Evolutionary Computation Conference Portland Oregon , 2010.

  • Umer Rasheed, Mariam Ahmed, Muhammad Jamal Afridi, Kunwar Faraz "Road trajectory mining and autonomous steering control for Vision based Unmanned Vehicles" Published at the 10th International Conference on Intelligent system design and applications, ISDA 2010.

  • U.Rasheed, M.Ahmed, S.Ali J.Afridi, K.Faraz "Generic Vision based Algorithm for Driving space detection in Diverse Indoor and Outdoor environments " International Conference on Mechatronics and Automation, ICMA 2010.

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