Sadaf Khademi

According to our database1, Sadaf Khademi authored at least 10 papers between 2023 and 2026.

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Bibliography

2026
DECODE: Dual-Enhanced Conditioned Diffusion for EEG Forecasting.
CoRR, March, 2026

2025
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction.
CoRR, March, 2025

MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition.
CoRR, February, 2025

Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module.
J. Imaging, 2025

SOLVE: Spatially Optimized Lung Volume Evidence Model for Efficient Nodule Malignancy Classification.
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.
CoRR, 2024

Nyctale: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction.
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.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023


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