Mahdi Hosseinzadeh

5 ta ish

Heidelberg University

1. Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems

   Mehdi Fatan, Mahdi Hosseinzadeh, Dariush Askari +3

   Bob20228 iqtibos

   ABIABI:AkademIndex/2026.other.133523

2. Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features

   Mohammadreza Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari +8

   Maqola20227 iqtibos

   ABIABI:AkademIndex/2026.other.111974

3. Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques

   Mohammad R. Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh +1

   Maqola20235 iqtibos

   ABIABI:AkademIndex/2026.other.321178

4. Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer

   Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar +4

   Maqola20223 iqtibos

   ABIABI:AkademIndex/2026.other.135567

5. The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

   P. Whybra, Alex Zwanenburg, Vincent Andrearczyk +43

   Sharh maqola20242 iqtibos

   ABIABI:AkademIndex/2026.other.446462