A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...
AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...
DeepDetect is a deep learning runtime, command-line tool, and REST server for training and inference. The Python wheel embeds the DeepDetect runtime in the current Python environment and provides the ...
Abstract: A novel emitter patterning method for back-contacted Si heterojunction solar cells is presented, which combines laser processing and wet etching of a mask layer stack with self-aligned ...
Abstract: This paper proposes a Cascade R-CNN steel defect detection method based on improved multi head attention mechanism and dynamic multi-stage loss reweighting, and validates it on the ...
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