Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessment

1 code implementation • Frontiers in Oncology 2024 • Seungyeon Son, Bio Joo, Mina Park, Sang Hyun Suh, Hee Sang Oh, Jun Won Kim, Seoyoung Lee, Sung Jun Ahn*†, Jong-Min Lee*†

Methods and materials: A total of 128 patients with 1339 BMs, who underwent BM magnetic resonance imaging using the contrast-enhanced 3D T1 weighted (T1WI) turbo spin-echo black blood sequence, were included in the development of the DL algorithm.

Brain Tumor Segmentation Image Segmentation +2

Towards Efficient Neural Scene Graphs by Learning Consistency Fields

no code implementations • 9 Oct 2022 • Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee

Neural Radiance Fields (NeRF) achieves photo-realistic image rendering from novel views, and the Neural Scene Graphs (NSG) \cite{ost2021neural} extends it to dynamic scenes (video) with multiple objects.