Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks. - Emad Aghajanzadeh; Behzad Shomali; Diba Aminshahidi; Navid Ghassemi (CLEF (Working Notes), 2021)

Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks. - Matthias Kerzel; Julia Markert; Emad Aghajanzadeh; Stephanie von Riegen; Lothar Hotz; Pascal Krenz (ECAI, 2023)

Processing Product, Production and Producer Information for Operations Planning and Scheduling Using CLIP for Multimodal Image and Text Data. - Julia Markert; Matthias Kerzel; Michael Variola; Dominik Saubke; Stephanie von Riegen; Emad Aghajanzadeh; Lothar Hotz; Pascal Krenz (IEEM, 2023)

Task weighting based on particle filter in deep multi-task learning with a view to uncertainty and performance. - Emad Aghajanzadeh; Tahereh Bahraini; Amir Hossein Mehrizi; Hadi Sadoghi Yazdi (Pattern Recognit., 2023)

Planning and Optimising Value Chains in Production Networks of MSEs: A Lightweight Planner For Parallel Processes. - Emad Aghajanzadeh; Julia Christina Markert; Matthias Kerzel; Stephanie von Riegen; Pascal Krenz; Lothar Hotz; Jens Peter Wulfsberg (APMS (3), 2024)

Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation. - Moritz Thoma; Tobias Preintner; Emad Aghajanzadeh; Shambhavi Balamuthu Sampath; Pierpaolo Morì; Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Daniel Mueller-Gritschneder; Ulf Schlichtmann (CVPR Workshops, 2025)

FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression. - Moritz Thoma; Jorge Villasante; Emad Aghajanzadeh; Shambhavi Balamuthu Sampath; Pierpaolo Morì; Maximilian Groetzinger; Daniil Dylkin; Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Daniel Mueller-Gritschneder; Ulf Schlichtmann (CVPR Workshops, 2025)