Automated framework to reconstruct 3D model of cardiac Z-disk: an image processing approach. - Afshin Khadangi; Eric Hanssen; Vijay Rajagopal (BIBM, 2018)

Automated segmentation of cardiomyocyte Z-disks from high-throughput scanning electron microscopy data. - Afshin Khadangi; Eric Hanssen; Vijay Rajagopal (BMC Medical Informatics Decis. Mak., 2019)

EM-net: Deep learning for electron microscopy image segmentation. - Afshin Khadangi; Thomas Boudier; Vijay Rajagopal (ICPR, 2020)

EM-stellar: benchmarking deep learning for electron microscopy image segmentation. - Afshin Khadangi; Thomas Boudier; Vijay Rajagopal (Bioinform., 2021)

DeepFlorist: Rethinking Deep Neural Networks and Ensemble Learning as A Meta-Classifier For Object Classification. - Afshin Khadangi (CoRR, 2023)

We Don't Need No Adam, All We Need Is EVE: On The Variance of Dual Learning Rate And Beyond. - Afshin Khadangi (CoRR, 2023)

CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements. - Afshin Khadangi; Amir Sartipi; Igor Tchappi; Gilbert Fridgen (CoRR, 2025)

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models. - Afshin Khadangi; Amir Sartipi; Igor Tchappi; Ramin Bahmani (CoRR, 2025)

KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification. - Qianbo Zang; Christophe Zgrzendek; Igor Tchappi; Afshin Khadangi; Johannes Sedlmeir (CoRR, 2025)

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning. - Afshin Khadangi; Amir Sartipi; Igor Tchappi; Ramin Bahmani; Gilbert Fridgen (CoRR, 2025)