no code implementations • 28 Feb 2024 • Jiarui Xing, Nian Wu, Kenneth Bilchick, Frederick Epstein, Miaomiao Zhang
This paper presents a multimodal deep learning framework that utilizes advanced image techniques to improve the performance of clinical analysis heavily dependent on routinely acquired standard images.
no code implementations • 13 Mar 2023 • Nian Wu, Miaomiao Zhang
To achieve this, we develop a neural operator that for the first time learns the evolving trajectory of geodesic deformations parameterized in the tangent space of diffeomorphisms(a. k. a velocity fields).
1 code implementation • 19 Aug 2022 • Yaosen Min, Ye Wei, Peizhuo Wang, Xiaoting Wang, Han Li, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Ji Wu, Dan Zhao, Jianyang Zeng
Accurate prediction of the protein-ligand binding affinities is an essential challenge in the structure-based drug design.
no code implementations • 13 Dec 2021 • Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen
Registration-based atlas building often poses computational challenges in high-dimensional image spaces.
no code implementations • 29 Sep 2021 • Mengji Zhang, Yingce Xia, Nian Wu, Kun Qian, Jianyang Zeng
Manually interpreting the MS/MS spectrum into the molecules (i. e., the simplified molecular-input line-entry system, SMILES) is often costly and cumbersome, mainly due to the synthesis and labeling of isotopes and the requirement of expert knowledge.