日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Iterative Large Language Model-Guided Sampling and Expert-Annotated Benchmark Corpus for Harmful Suicide Content Detection: Development and Validation Study

基于迭代式大型语言模型引导抽样和专家标注基准语料库的有害自杀内容检测:开发与验证研究

Park, Kyumin; Baik, Myung Jae; Hwang, YeongJun; Shin, Yen; Lee, HoJae; Lee, Ruda; Lee, Sang Min; Sun, Je Young Hannah; Lee, Ah Rah; Yoon, Si Yeun; Lee, Dong-Ho; Moon, Jihyung; Bak, JinYeong; Cho, Kyunghyun; Paik, Jong-Woo; Park, Sungjoon

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations

通才基金会模式不足以满足医院运营的临床需求。

Jiang, Lavender Y; Chen, Angelica; Han, Xu; Liu, Xujin Chris; Dua, Radhika; Eaton, Kevin; Wolff, Frederick; Steele, Robert; Zhang, Jeff; Alyakin, Anton; Pan, Qingkai; Chen, Yanbing; Sangwon, Karl L; Alber, Daniel A; Stryker, Jaden; Lee, Jin Vivian; Aphinyanaphongs, Yindalon; Cho, Kyunghyun; Oermann, Eric Karl

Characterization of tumour heterogeneity through segmentation-free representation learning on multiplexed imaging data.

通过对多重成像数据进行无分割表示学习来表征肿瘤异质性

Tan Jimin, Le Hortense, Deng Jiehui, Liu Yingzhuo, Hao Yuan, Hollenberg Michelle, Liu Wenke, Wang Joshua M, Xia Bo, Ramaswami Sitharam, Mezzano Valeria, Loomis Cynthia, Murrell Nina, Moreira Andre L, Cho Kyunghyun, Pass Harvey I, Wong Kwok-Kin, Ban Yi, Neel Benjamin G, Tsirigos Aristotelis, Fenyö David

MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI

MR-Transformer:一种基于视觉变换器的深度学习模型,用于利用磁共振成像技术预测全膝关节置换术。

Zhang, Chaojie; Chen, Shengjia; Cigdem, Ozkan; Rajamohan, Haresh Rengaraj; Cho, Kyunghyun; Kijowski, Richard; Deniz, Cem M

Tokenized and continuous embedding compressions of protein sequence and structure

蛋白质序列和结构的标记化和连续嵌入压缩

Lu, Amy X; Yan, Wilson; Yang, Kevin K; Gligorijevic, Vladimir; Cho, Kyunghyun; Abbeel, Pieter; Bonneau, Richard; Frey, Nathan C

Peer reviews of peer reviews: A randomized controlled trial and other experiments

同行评审的同行评审:一项随机对照试验及其他实验

Goldberg, Alexander; Stelmakh, Ivan; Cho, Kyunghyun; Oh, Alice; Agarwal, Alekh; Belgrave, Danielle; Shah, Nihar B

Robust Disease Prognosis via Diagnostic Knowledge Preservation: A Sequential Learning Approach

基于诊断知识保留的稳健疾病预后:一种序列学习方法

Rajamohan, Haresh Rengaraj; Xu, Yanqi; Zhu, Weicheng; Kijowski, Richard; Cho, Kyunghyun; Geras, Krzysztof J; Razavian, Narges; Deniz, Cem M

Protein remote homology detection and structural alignment using deep learning

利用深度学习进行蛋白质远程同源性检测和结构比对

Hamamsy, Tymor; Morton, James T; Blackwell, Robert; Berenberg, Daniel; Carriero, Nicholas; Gligorijevic, Vladimir; Strauss, Charlie E M; Leman, Julia Koehler; Cho, Kyunghyun; Bonneau, Richard

PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization

PMF-GRN:一种基于概率矩阵分解的单细胞基因调控网络推断的变分推断方法

Skok Gibbs, Claudia; Mahmood, Omar; Bonneau, Richard; Cho, Kyunghyun

Characterization of tumor heterogeneity through segmentation-free representation learning

通过无分割表征学习来表征肿瘤异质性

Tan, Jimin; Le, Hortense; Deng, Jiehui; Liu, Yingzhuo; Hao, Yuan; Hollenberg, Michelle; Liu, Wenke; Wang, Joshua M; Xia, Bo; Ramaswami, Sitharam; Mezzano, Valeria; Loomis, Cynthia; Murrell, Nina; Moreira, Andre L; Cho, Kyunghyun; Pass, Harvey; Wong, Kwok-Kin; Ban, Yi; Neel, Benjamin G; Tsirigos, Aristotelis; Fenyö, David