Sadaf Khademi

According to our database, Sadaf Khademi authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction.

Sadaf Khademi, Mehran Shabanpour, Reza Taleei, Anastasia Oikonomou, Arash Mohammadi

CoRR, March, 2025

MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition.

Mehran Shabanpour, Kasra Rad, Sadaf Khademi, Arash Mohammadi

CoRR, February, 2025

SOLVE: Spatially Optimized Lung Volume Evidence Model for Efficient Nodule Malignancy Classification.

Sadaf Khademi, Anastasia Oikonomou, Arash Mohammadi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning.

Sadaf Khademi, Zohreh Hajiakhondi-Meybodi, Golnaz Vaseghi, Nizal Sarrafzadegan, Arash Mohammadi

CoRR, 2024

Nyctale: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction.

Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the IEEE International Conference on Image Processing, 2024

FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning Network.

Sadaf Khademi, Zohreh Hajiakhondi-Meybodi, Golnaz Vaseghi, Nizal Sarrafzadegan, Arash Mohammadi

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction.

Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction.

Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the IEEE International Conference on Acoustics, 2023