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

Medical Imaging Data Strategies for Catalyzing AI Medical Device Innovation

医学影像数据策略助力人工智能医疗器械创新

Samala, Ravi K; Gallas, Brandon D; Zamzmi, Ghada; Juluru, Krishna; Khan, Amir; Bahr, Catherine; Ochs, Robert; Carranza, Dorn; Granstedt, Jason; Margerrison, Edward; Badano, Aldo

Synoptic Reporting for Pretreatment CT Examination in Patients With Advanced Ovarian Cancer: Impact on Documentation of Disease Sites and Physician Satisfaction

晚期卵巢癌患者治疗前CT检查的概要报告:对疾病部位记录和医生满意度的影响

Andrieu, Pamela Causa; Nikolovski, Ines; Juluru, Krishna; Sadowski, Elizabeth; Gangai, Natalie; Zheng, Junting; Capanu, Marinela; Praiss, Aaron M; Nougaret, Stephanie; Shinagare, Atul B; Ma, Weining; Torrisi, Jean M; Sonoda, Yukio; Chi, Dennis S; Lakhman, Yulia

Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI

快速、轻量且可扩展:利用数据挖掘的线标注实现脑部MRI图像的自动肿瘤分割

Swinburne, Nathaniel C; Yadav, Vivek; Murthy, Krishna Nand Keshava; Elnajjar, Pierre; Shih, Hao-Hsin; Panyam, Prashanth Kumar; Santilli, Alice; Gutman, David C; Pike, Luke; Moss, Nelson S; Stone, Jacqueline; Hatzoglou, Vaios; Shah, Akash; Juluru, Krishna; Shah, Sohrab P; Holodny, Andrei I; Young, Robert J

Engineering of Hydrogenated (6,0) Single-Walled Carbon Nanotube under Applied Uniaxial Stress: A DFT-1/2 and Molecular Dynamics Study

单轴应力作用下氢化(6,0)单壁碳纳米管的工程化:DFT-1/2和分子动力学研究

Singh, Yumnam Thakur; Chettri, Bhanu; Kima, Lalrin; Renthlei, Zosiamliana; Patra, Prasanta Kumar; Prasad, Mattipally; Sivakumar, Juluru; Laref, Amel; Ghimire, Madhav Prasad; Rai, Dibya Prakash

Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations

利用挖掘标注数据对脑部MRI肿瘤检测模型进行半监督训练

Swinburne, Nathaniel C; Yadav, Vivek; Kim, Julie; Choi, Ye R; Gutman, David C; Yang, Jonathan T; Moss, Nelson; Stone, Jacqueline; Tisnado, Jamie; Hatzoglou, Vaios; Haque, Sofia S; Karimi, Sasan; Lyo, John; Juluru, Krishna; Pichotta, Karl; Gao, Jianjiong; Shah, Sohrab P; Holodny, Andrei I; Young, Robert J

Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans

利用深度学习对MRI扫描图像中的乳腺癌进行分割,达到放射科医生级别的性能

Hirsch, Lukas; Huang, Yu; Luo, Shaojun; Rossi Saccarelli, Carolina; Lo Gullo, Roberto; Daimiel Naranjo, Isaac; Bitencourt, Almir G V; Onishi, Natsuko; Ko, Eun Sook; Leithner, Doris; Avendano, Daly; Eskreis-Winkler, Sarah; Hughes, Mary; Martinez, Danny F; Pinker, Katja; Juluru, Krishna; El-Rowmeim, Amin E; Elnajjar, Pierre; Morris, Elizabeth A; Makse, Hernan A; Parra, Lucas C; Sutton, Elizabeth J

Standardized Reporting of Oncologic Response: Making Every Report Count

肿瘤反应标准化报告:让每一份报告都发挥作用

Do, Richard K G; Lefkowitz, Robert A; Hatzoglou, Vaios; Ma, Weining; Juluru, Krishna; Mayerhoefer, Marius

Optimizing (90)Y Particle Density Improves Outcomes After Radioembolization

优化 (90)Y 粒子密度可改善放射性栓塞术后的效果

Maxwell, Aaron W P; Mendoza, Humberto G; Sellitti, Matthew J; Camacho, Juan C; Deipolyi, Amy R; Ziv, Etay; Sofocleous, Constantinos T; Yarmohammadi, Hooman; Maybody, Majid; Humm, John L; Schwartz, Jazmin; Juluru, Krishna; Dunphy, Mark P; Boas, F Edward

Federated learning for predicting clinical outcomes in patients with COVID-19

利用联邦学习预测新冠肺炎患者的临床结果

Dayan, Ittai; Roth, Holger R; Zhong, Aoxiao; Harouni, Ahmed; Gentili, Amilcare; Abidin, Anas Z; Liu, Andrew; Costa, Anthony Beardsworth; Wood, Bradford J; Tsai, Chien-Sung; Wang, Chih-Hung; Hsu, Chun-Nan; Lee, C K; Ruan, Peiying; Xu, Daguang; Wu, Dufan; Huang, Eddie; Kitamura, Felipe Campos; Lacey, Griffin; de Antônio Corradi, Gustavo César; Nino, Gustavo; Shin, Hao-Hsin; Obinata, Hirofumi; Ren, Hui; Crane, Jason C; Tetreault, Jesse; Guan, Jiahui; Garrett, John W; Kaggie, Joshua D; Park, Jung Gil; Dreyer, Keith; Juluru, Krishna; Kersten, Kristopher; Rockenbach, Marcio Aloisio Bezerra Cavalcanti; Linguraru, Marius George; Haider, Masoom A; AbdelMaseeh, Meena; Rieke, Nicola; Damasceno, Pablo F; E Silva, Pedro Mario Cruz; Wang, Pochuan; Xu, Sheng; Kawano, Shuichi; Sriswasdi, Sira; Park, Soo Young; Grist, Thomas M; Buch, Varun; Jantarabenjakul, Watsamon; Wang, Weichung; Tak, Won Young; Li, Xiang; Lin, Xihong; Kwon, Young Joon; Quraini, Abood; Feng, Andrew; Priest, Andrew N; Turkbey, Baris; Glicksberg, Benjamin; Bizzo, Bernardo; Kim, Byung Seok; Tor-Díez, Carlos; Lee, Chia-Cheng; Hsu, Chia-Jung; Lin, Chin; Lai, Chiu-Ling; Hess, Christopher P; Compas, Colin; Bhatia, Deepeksha; Oermann, Eric K; Leibovitz, Evan; Sasaki, Hisashi; Mori, Hitoshi; Yang, Isaac; Sohn, Jae Ho; Murthy, Krishna Nand Keshava; Fu, Li-Chen; de Mendonça, Matheus Ribeiro Furtado; Fralick, Mike; Kang, Min Kyu; Adil, Mohammad; Gangai, Natalie; Vateekul, Peerapon; Elnajjar, Pierre; Hickman, Sarah; Majumdar, Sharmila; McLeod, Shelley L; Reed, Sheridan; Gräf, Stefan; Harmon, Stephanie; Kodama, Tatsuya; Puthanakit, Thanyawee; Mazzulli, Tony; de Lavor, Vitor Lima; Rakvongthai, Yothin; Lee, Yu Rim; Wen, Yuhong; Gilbert, Fiona J; Flores, Mona G; Li, Quanzheng

Genomic profiling identifies somatic mutations predicting thromboembolic risk in patients with solid tumors

基因组分析可识别预测实体瘤患者血栓栓塞风险的体细胞突变

Dunbar, Andrew; Bolton, Kelly L; Devlin, Sean M; Sanchez-Vega, Francisco; Gao, Jianjiong; Mones, Jodi V; Wills, Jonathan; Kelly, Daniel; Farina, Mirko; Cordner, Keith B; Park, Young; Kishore, Sirish; Juluru, Krishna; Iyengar, Neil M; Levine, Ross L; Zehir, Ahmet; Park, Wungki; Khorana, Alok A; Soff, Gerald A; Mantha, Simon