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2024 ■
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
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
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
 
2022 ■
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