A. Abbasi

Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

Haifang Li, T. Duong, Lal Hussain, 2020, BioMedical Engineering OnLine.

Prostate Cancer Detection Using Deep Learning and Traditional Techniques

Ghazanfar Farooq Siddiqui, Amjad Rehman, Tanzila Saba, 2021, IEEE Access.

Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

Lal Hussain, M. Nadeem, I. Awan, 2020, Cognitive Neurodynamics.

Automated lung cancer detection based on multimodal features extracting strategy using machine learning techniques

Saima Rathore, Lal Hussain, Adeel Ahmed Abbasi, 2019, Medical Imaging.

Detecting brain tumors using deep learning convolutional neural network with transfer learning approach

Lal Hussain, Adeel Ahmed Abbasi, Wajid Aziz, 2021, Int. J. Imaging Syst. Technol..

Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

Haifang Li, T. Duong, Lal Hussain, 2020, Biomedical engineering online.

Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques

Lal Hussain, Adeel Ahmed Abbasi, Sadia Anjum, 2020, MLCN/RNO-AI@MICCAI.

Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques

Adeel Ahmed Abbasi, Kashif Javed Lone, Imtiaz Ahmed Awan, 2020, Waves in Random and Complex Media.

Multiscaled entropy analysis to quantify the dynamics of motor movement signals with fist or feet movement using topographic maps.

Abdulrahman A. Alshdadi, Lal Hussain, Adeel Ahmed Abbasi, 2019, Technology and health care : official journal of the European Society for Engineering and Medicine.

Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification pdf

Abdullah Ahmed, Carsten Eickhoff, Adeel Abbasi, 2021, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques

Lal Hussain, Adeel Ahmed Abbasi, Sharjil Saeed, 2018, Waves in Random and Complex Media.

Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

Abdul Majid, Imran Abbasi, Lal Hussain, 2020, Cognitive Neurodynamics.