May 31, 2024 · Abstract. Spatially resolved transcriptomics (SRT) has emerged as a powerful tool for investigating gene expression in spatial contexts, providing insights.

Jun 21, 2024 · Fine-tuning is an important technique in transfer learning that has achieved significant success in tasks that lack training data.

Apr 1, 2024 · Methodology overview. This research focuses on addressing multi-source domain adaptation challenges within the constraints of data privacy and introduces a ...

Oct 14, 2024 · Here, we present an Adaptive Multi-modality Segmentation-to-Survival model (AdaMSS) for survival prediction from multi-modality medical images. The AdaMSS can ...

Jun 15, 2024 · Ammar Shaker, Carolin Lawrence: “Multi-Source Survival Domain Adaptation”, 37th AAAI Conference on Artificial Intelligence 2023. Paper Details. Abstract:

Jan 19, 2024 · MCDCD Multi Source Unsupervised Domain Adaptation ... MCDCD Multi Source Unsupervised Domain Adaptation ... Generative AI in a Nutshell - how to survive and thrive ...

Missing: Source | Show results with:Source

Jun 11, 2024 · We focus on domain adaptation from H&E to four distinct IHC stains: ER, PR, HER2, and Ki-67. Our setup encompasses an an- notated source dataset in H&E, a ...

Dec 19, 2024 · The primary aim of this technique is to adapt the model by analyzing and understanding the differences between the source and target domains to improve its ...

Feb 15, 2024 · We describe a simple method for unsupervised domain adaptation, whereby the discrepancy between the source and target distributions is reduced by swapping the ...