フォロー
Laura Manduchi
Laura Manduchi
PhD student, ETH Zürich
確認したメール アドレス: inf.ethz.ch - ホームページ
タイトル
引用先
引用先
A Deep Variational Approach to Clustering Survival Data
L Manduchi, R Marcinkevičs, MC Massi, T Weikert, A Sauter, V Gotta, ...
ICRL 2022, 2022
482022
Deep conditional gaussian mixture model for constrained clustering
L Manduchi, K Chin-Cheong, H Michel, S Wellmann, J Vogt
Advances in Neural Information Processing Systems 34, 11303-11314, 2021
312021
DPSOM: Deep probabilistic clustering with self-organizing maps
L Manduchi, M Hüser, J Vogt, G Rätsch, V Fortuin
NeurIPS 2019 workshop on Machine Learning for Health, 2019
262019
T-dpsom: An interpretable clustering method for unsupervised learning of patient health states
L Manduchi, M Hüser, M Faltys, J Vogt, G Rätsch, V Fortuin
Proceedings of the Conference on Health, Inference, and Learning, 236-245, 2021
242021
On the challenges and opportunities in generative ai
L Manduchi, K Pandey, R Bamler, R Cotterell, S Däubener, S Fellenz, ...
arXiv preprint arXiv:2403.00025, 2024
192024
DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds
F Laumer, G Fringeli, A Dubatovka, L Manduchi, JM Buhmann
Machine Learning for Health, 194-212, 2020
152020
Tree Variational Autoencoders
L Manduchi, M Vandenhirtz, A Ryser, J Vogt
37th Conference on Neural Information Processing Systems, 2023
142023
Weakly supervised inference of personalized heart meshes based on echocardiography videos
F Laumer, M Amrani, L Manduchi, A Beuret, L Rubi, A Dubatovka, ...
Medical image analysis 83, 102653, 2023
122023
Learning Group Importance using the Differentiable Hypergeometric Distribution
TM Sutter, L Manduchi, A Ryser, JE Vogt
ICLR 2023, 2023
72023
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population‐based observational study
ME Syleouni, N Karavasiloglou, L Manduchi, M Wanner, D Korol, L Ortelli, ...
International journal of cancer 153 (5), 932-941, 2023
62023
Interpretable prediction of pulmonary hypertension in newborns using echocardiograms
H Ragnarsdottir, L Manduchi, H Michel, F Laumer, S Wellmann, E Ozkan, ...
DAGM German Conference on Pattern Recognition, 529-542, 2022
62022
Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms
H Ragnarsdottir, E Ozkan, H Michel, K Chin-Cheong, L Manduchi, ...
International Journal of Computer Vision, 1-18, 2024
52024
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models
A Ryser, L Manduchi, F Laumer, H Michel, S Wellmann, JE Vogt
Machine Learning for Healthcare Conference, 425-458, 2022
5*2022
sctree: Discovering cellular hierarchies in the presence of batch effects in scrna-seq data
M Vandenhirtz, F Barkmann, L Manduchi, JE Vogt, V Boeva
arXiv preprint arXiv:2406.19300, 2024
32024
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
E Palumbo, L Manduchi, S Laguna, D Chopard, JE Vogt
The Twelfth International Conference on Learning Representations, 2024
32024
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
M Vandenhirtz, L Manduchi, R Marcinkevičs, JE Vogt
arXiv preprint arXiv:2305.19671, 2023
22023
Structured Generations: Using Hierarchical Clusters to guide Diffusion Models
JS Goncalves, L Manduchi, M Vandenhirtz, JE Vogt
arXiv preprint arXiv:2407.06124, 2024
12024
Continuous Relaxation For The Multivariate Noncentral Hypergeometric Distribution
TM Sutter, L Manduchi, A Ryser, JE Vogt
ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022
12022
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers
L Manduchi, A Wehenkel, J Behrmann, L Pegolotti, AC Miller, O Sener, ...
arXiv preprint arXiv:2412.17542, 2024
2024
Hierarchical Clustering for Conditional Diffusion in Image Generation
JS Goncalves, L Manduchi, M Vandenhirtz, JE Vogt
arXiv preprint arXiv:2410.16910, 2024
2024
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
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