Zohaib Salahuddin

According to our database, Zohaib Salahuddin authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study.

Zohaib Salahuddin, Abdalla Ibrahim, Sheng Kuang, Yousif Widaatalla, Razvan L. Miclea, Oliver Morin, Spencer Behr, Marnix P. M. Kop, Tom Marcelissen, Patricia Zondervan, Auke Jager, Philippe Lambin, Henry C. Woodruff

CoRR, 2024

Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial.

Xian Zhong, Zohaib Salahuddin, Yi Chen, Henry C. Woodruff, Haiyi Long, Jianyun Peng, Nuwan Udawatte, Roberto Casale, Ayoub Mokhtari, Xiaoer Zhang, Jiayao Huang, Qingyu Wu, Li Tan, Lili Chen, Dongming Li, Xiaoyan Xie, Manxia Lin, Philippe Lambin

CoRR, 2024

2023

Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis.

Elizaveta Lavrova, Sergey Primakov, Zohaib Salahuddin, Manon Beuque, Damon Verstappen, Henry C. Woodruff, Philippe Lambin

Softw. Impacts, May, 2023

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images.

Elizaveta Lavrova, Zohaib Salahuddin, Henry C. Woodruff, Mohamed Kassem, Robin Camarasa, Anja G. van der Kolk, Paul H. J. Nederkoorn, Daniel Bos, Jeroen Hendrikse, M. Eline Kooi, Philippe Lambin

IEEE Access, 2023

Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts.

Zohaib Salahuddin, Sheng Kuang, Philippe Lambin, Henry C. Woodruff

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis.

Sergey Primakov, Elizaveta Lavrova, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin

CoRR, 2022

Transparency of deep neural networks for medical image analysis: A review of interpretability methods.

Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, Philippe Lambin

Comput. Biol. Medicine, 2022

HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images.

Zohaib Salahuddin, Yi Chen, Xian Zhong, Nastaran Mohammadian Rad, Henry C. Woodruff, Philippe Lambin

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.

Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí

CoRR, 2021

Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans.

Zohaib Salahuddin, Matthias Lenga, Hannes Nickisch

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms.

Jaime Simarro, Zohaib Salahuddin, Ahmed Gouda, Anindo Saha

CoRR, 2020