Counting of RBCs and WBCs in noisy normal blood smear microscopic images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens; Ali Sadr (Computer-Aided Diagnosis, 2011)

Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. - Adam Krzyzak; Thomas Fevens; Mehdi Habibzadeh; Lukasz Jelen (Computer Recognition Systems 4, 2011)

Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ICCVG, 2012)

White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ICAISC (2), 2013)

Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ANNPR, 2014)

Automatic white blood cell classification using pre-trained deep learning models: ResNet and Inception. - Mehdi Habibzadeh; Mahboobeh Jannesari; Zahra Rezaei; Hossein Baharvand; Mehdi Totonchi (ICMV, 2017)

Breast Cancer Histopathological Image Classification: A Deep Learning Approach. - Mahboubeh Jannesari; Mehdi Habibzadeh; HamidReza Aboulkheyr; Pegah Khosravi; Olivier Elemento; Mehdi Totonchi; Iman Hajirasouliha (BIBM, 2018)

Using deep learning methods for discovering associations between drugs and side effects based on topic modeling in social network. - Behnaz Eslami; Zahra Rezaei; Mehdi Habibzadeh; Majid Fouladian; Hossein Ebrahimpour-Komleh (Soc. Netw. Anal. Min., 2020)