Tasleem Kausar

According to our database, Tasleem Kausar authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EEG Decoding of Auditory Spatial Attention Based on Visibility Graph and Machine Learning.

Peixin Wang, Tasleem Kausar, Heng Li, Siyang Jiang, Yingying Rong, Yun Lu

Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

2023

Saliency-Based Semantic Weeds Detection and Classification Using UAV Multispectral Imaging.

Anum Naveed, Muhammad Wasif, Muhammad Jehanzeb Irshad, Muhammad Javaid Aslam, Sajjad Manzoor, Tasleem Kausar, Yun Lu

IEEE Access, 2023

SD-GAN: A Style Distribution Transfer Generative Adversarial Network for Covid-19 Detection Through X-Ray Images.

Tasleem Kausar, Yun Lu, Adeeba Kausar, Mustajab Ali, Adnan Yousaf

IEEE Access, 2023

Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model.

Tasleem Kausar, Yun Lu, Adeeba Kausar

IEEE Access, 2023

2021

SmallMitosis: Small Size Mitotic Cells Detection in Breast Histopathology Images.

Tasleem Kausar, Mingjiang Wang, M. Adnan Ashraf, Adeeba Kausar

IEEE Access, 2021

Deep Learning Strategy for Braille Character Recognition.

Tasleem Kausar, Sajjad Manzoor, Adeeba Kausar, Yun Lu, Muhammad Wasif, M. Adnan Ashraf

IEEE Access, 2021

2020

Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals.

Yun Lu, Mingjiang Wang, Wanqing Wu, Qiquan Zhang, Yufei Han, Tasleem Kausar, Shixiong Chen, Ming Liu, Bo Wang

Complex., 2020

2019

Cancer Detection in Breast Histopathology with Convolution Neural Network Based Approach.

Tasleem Kausar, Mingjiang Wang, M. S. S. Malik

Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2017

FF-CNN: An Efficient Deep Neural Network for Mitosis Detection in Breast Cancer Histological Images.

Boqian Wu, Tasleem Kausar, Qiao Xiao, Mingjiang Wang, Wenfeng Wang, Binwen Fan, Dandan Sun

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017