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	1	Exploring the ability of LSTM-based hydrological models to simulate streamflow time series for flood frequency analysis Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 19: 4951-4968. 18 S.
	2	Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 13: 2811-2836. 26 S.
	3	Version 3.0 of the Crocus snowpack model Enthalten in EGUsphere 30.10.2025: 1-75. 75 S.
	4	Analyzing the sensitivity of a blowing snow model (SnowPappus) to precipitation forcing, blowing snow, and spatial resolution Enthalten in The Cryosphere Bd. 18, 2024, Nr. 7: 3081-3116. 36 S.
	5	Exploring the ability of LSTM-based hydrological models to simulate streamflow time series for flood frequency analysis Enthalten in EGUsphere 20.08.2024: 1-32. 32 S.
	6	Assessing the adequacy of traditional hydrological models for climate change impact studies: A case for long-short-term memory (LSTM) neural networks Enthalten in EGUsphere 05.08.2024: 1-44. 44 S.
	7	Child Protection Decision-Making Regarding First Nations Children in Quebec: Empirical Support for a Call for Systemic Change Enthalten in International journal on child maltreatment 24.6.2024: 1-30
	8	Exploring the sensitivity to precipitation, blowing snow, and horizontal resolution of the spatial distribution of simulated snow cover Enthalten in EGUsphere 23.11.2023: 1-44. 44 S.
	9	Survival after sequential neoadjuvant chemotherapy followed by trimodal treatment or radical cystectomy for muscle-invasive bladder cancer Enthalten in World journal of urology 6.7.2023: 1-7
	10	Randomized Clinical Study of Temporary Transvenous Phrenic Nerve Stimulation in Difficult-to-Wean Patients Dres, Martin. - Aachen : Universitätsbibliothek der RWTH Aachen, 2022

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