Firas Mualla

According to our database1, Firas Mualla authored at least 13 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
DNN Pruning and Its Effects on Robustness.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.
CoRR, 2021

2018
Microscopy.
Proceedings of the Medical Imaging Systems - An Introductory Guide, 2018

Balanced Random Forest Classifier in WEKA.
CoRR, 2018

2017
Automatic Preparation of Standard Arabic Phonetically Rich Written Corpora with Different Linguistic Units.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017

2016
Automatic Unstained Cell Detection in Bright Field Microscopy (Automatische Detektion ungefärbter Zellen in der Hellfeld-Mikroskopie)
PhD thesis, 2016

2015
ComputerAutomatic Robust Rule-Based Phonetization of Standard Arabic.
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015

Band-Pass Filter Design by Segmentation in Frequency Domain for Detection of Epithelial Cells in Endomicroscope Images.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Using the low-pass monogenic signal framework for cell/background classification on multiple cell lines in bright-field microscope images.
Int. J. Comput. Assist. Radiol. Surg., 2014

Unsupervised Unstained Cell Detection by SIFT Keypoint Clustering and Self-labeling Algorithm.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Improving joint learning of suspended and adherent cell detection using low-pass monogenic phase and transport of intensity equation.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Automatic Cell Detection in Bright-Field Microscope Images Using SIFT, Random Forests, and Hierarchical Clustering.
IEEE Trans. Medical Imaging, 2013

Using the Monogenic Signal for Cell-Background Classification in Bright-Field Microscope Images.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013


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