Whole slide image (WSI) processing pipeline for invasive carcinoma (IC) detection. by Rémy Peyret (14691736)

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Variations in slide appearance. by Rémy Peyret (14691736)

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Development of the deep learning model using two-phase training. by Rémy Peyret (14691736)

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Two-stage dataset generation and training process. by Rémy Peyret (14691736)

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Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Data_Sheet_1_The Framing Preference for Large and Increasing Components in Static and Dynamic Descriptions.docx by Henk Pander Maat (11720801)

Estimation of the mutation-rate increase is accurate and precise when the mutation-supply ratio is sufficiently large. by Lucy Lansch-Justen (18625920)

The 3CP circle model captures spatial scale increase in large-eddy simulations (LES). by Silas Boye Nissen (6815351)

Illustration of the learning and sampling of a large sequence using a “classical” and a conditional RBM (CRBM). by Burak Yelmen (10098165)

As large errors we classified recommendations with a deviation from the truth in the top 25 percentiles. by Daniela Sele (9749590)

Frontiers of Large Language Models: Empowering Decision Optimization, Scene Understanding, and Summarization Through Advanced Computational Approaches by J. de Curto (17378494)

“…<p dir="ltr">Presentation for the PhD Thesis: Frontiers of Large Language Models: Empowering Decision Optimization, Scene Understanding, and Summarization Through Advanced Computational Approaches https://riunet.upv.es/handle/10251/202200<br></p><p dir="ltr">Abstract:</p><p dir="ltr">The advent of Large Language Models (LLMs) marks a transformative phase in the field of Artificial Intelligence (AI), signifying the shift towards intelligent and autonomous systems capable of complex understanding and decision-making. …”

Longer polyQ sequences increase the tendency of AR-NTD to form gels. by Carlos M. Roggero (11909585)

Table1_Efficacy and safety of Ginkgolide with intravenous alteplase thrombolysis in acute ischemic stroke with large vessel occlusion: a subgroup analysis of GIANT.DOCX by Zheyu Zhang (6987899)

“…Aim<p>This study aims to explore the effectiveness and safety of Ginkgolide^® in acute ischemic stroke (AIS) patients with large vessel occlusion (LVO) and moderate-to-severe stroke receiving intravenous alteplase thrombolysis (IVT).…”

Original large DBs. by Steven L. Yu (18150306)

Tractography result and fiber-count connectivity matrix with (right) and without (left) a free water model for a brain tumor patient with a large edema. by Leon Weninger (7836959)

A cross-section performed, displaying the “wet sand” artifact (Left); Another cross-section depicting a large mitigation of this artifact by increasing the fluence (Right). by Nicholas May (15401452)

“…<p>A cross-section performed, displaying the “wet sand” artifact (Left); Another cross-section depicting a large mitigation of this artifact by increasing the fluence (Right).…”

Example of the prompts used to query the tested Large Language Models (LLMs). by Nicola Luigi Bragazzi (6931424)