Search Results for author: Issam El Naqa

Found 4 papers, 1 papers with code

Evaluation of QCNN-LSTM for Disability Forecasting in Multiple Sclerosis Using Sequential Multisequence MRI

no code implementations22 Jan 2024 John D. Mayfield, Issam El Naqa

Overall variance and mean were not statistically significant (p-value 0. 713), however, time to train was significantly faster for the QCNN-LSTMs (39. 4 sec per fold vs. 224 and 218, respectively, p-value <0. 001).

Binary Classification

Modeling non-genetic information dynamics in cells using reservoir computing

1 code implementation13 Dec 2023 Dipesh Niraula, Issam El Naqa, Jack Adam Tuszynski, Robert A. Gatenby

Virtually all cells use energy and ion-specific membrane pumps to maintain large transmembrane gradients of Na$^+$, K$^+$, Cl$^-$, Mg$^{++}$, and Ca$^{++}$.

Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making

no code implementations9 Feb 2022 Wenbo Sun, Dipesh Niraula, Issam El Naqa, Randall K Ten Haken, Ivo D Dinov, Kyle Cuneo, Judy Jin

The proposed method is demonstrated in a comprehensive dataset where patient-specific information and treatment outcomes are prospectively collected during radiotherapy of $67$ non-small cell lung cancer patients and retrospectively analyzed.

Decision Making

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

no code implementations24 Mar 2017 Martin Vallières, Emily Kay-Rivest, Léo Jean Perrin, Xavier Liem, Christophe Furstoss, Hugo J. W. L. Aerts, Nader Khaouam, Phuc Felix Nguyen-Tan, Chang-Shu Wang, Khalil Sultanem, Jan Seuntjens, Issam El Naqa

In this work, 1615 radiomic features (quantifying tumour image intensity, shape, texture) extracted from pre-treatment FDG-PET and CT images of 300 patients from four different cohorts were analyzed for the risk assessment of locoregional recurrences (LR) and distant metastases (DM) in head-and-neck cancer.

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