The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Boulogne, LH, Lorenz, J, Kienzle, D, Schon, R, Ludwig, K, Lienhart, R, Jegou, S, Li, G, Chen, C, Wang, Q, Shi, D, Maniparambil, M, Muller, D, Mertes, S, Schroter, N, Hellmann, F, Elia, M, Dirks, I, Bossa, MN, Berenguer, AD, Mukherjee, T, Vandemeulebroucke, J, Sahli, H, Deligiannis, N, Gonidakis, P, Huynh, ND, Razzak, I, Bouadjenek, R, Verdicchio, M, Borrelli, P, Aiello, M, Meakin, JA, Lemm, A, Russ, C, Ionasec, R, Paragios, N, Ginneken, BV & Dubois, M-PR 2024, 'The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data', Medical Image Analysis, vol. 97, 103230. https://doi.org/10.1016/j.media.2024.103230, https://doi.org/10.48550/arXiv.2306.10484
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Boulogne, LH, Lorenz, J, Kienzle, D, Schon, R, Ludwig, K, Lienhart, R, Jegou, S, Li, G, Chen, C, Wang, Q, Shi, D, Maniparambil, M, Muller, D, Mertes, S, Schroter, N, Hellmann, F, Elia, M, Dirks, I, Bossa, MN, Berenguer, AD, Mukherjee, T, Vandemeulebroucke, J, Sahli, H, Deligiannis, N, Gonidakis, P, Huynh, ND, Razzak, I, Bouadjenek, R, Verdicchio, M, Borrelli, P, Aiello, M, Meakin, JA, Lemm, A, Russ, C, Ionasec, R, Paragios, N, Ginneken, BV & Dubois, M-PR 2024, 'The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data', Medical Image Analysis, vol. 97, 103230. https://doi.org/10.1016/j.media.2024.103230, https://doi.org/10.48550/arXiv.2306.10484
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization
Diaz Berenguer, A, Kvasnytsia, M, Bossa Bossa, MN, Mukherjee, T, Deligiannis, N & Sahli, H 2024, 'Semi-supervised medical image classification via distance correlation minimization and graph attention regularization', Medical Image Analysis, vol. 94, 103107, pp. 1-16. https://doi.org/10.1016/j.media.2024.103107
Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training
Da, Y, Bossa, MN, Berenguer, AD & Sahli, H 2024, 'Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training', IEEE Access , vol. 12, no. 2024, pp. 10120-10134. https://doi.org/10.1109/ACCESS.2024.3353056
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer’s Disease
Bossa, M, Berenguer, AD & Sahli, H 2022, Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer’s Disease. in A Abdulkadir, DR Bathula, NC Dvornek, M Habes, SM Kia, V Kumar & T Wolfers (eds), International Workshop on Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. vol. 13596, Lecture Notes in Computer Science, vol. 13596, Springer Nature Switzerland AG, pp. 95-103. https://doi.org/10.1007/978-3-031-17899-3_10