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

QVT score, a radiomic biomarker of vascular complexity, enables prognostication and monitoring of NSCLC immunotherapy

QVT评分是一种反映血管复杂性的放射组学生物标志物,可用于非小细胞肺癌免疫治疗的预后预测和监测。

Chae, Young K; Velcheti, Vamsidhar; Zhang, Kai; Hiremath, Amogh; Chung, Liam Il-Young; Haji-Maghsoudi, Omid; Chitalia, Rhea; Lee, Jeeyeon; Li, Haojia; Lee, Seyoung; Mutha, Pushkar; Nagabhushan, Rushil; Levy, David; Cantor, Diego; Kim, Yuchan; Cheung, Trevor; Kim, Haseok; Gupta, Amit; Arul, Trishan; Madabhushi, Anant; Braman, Nathaniel

A deep learning framework to iDentify prOgnostically releVant cancEr Regions (DOVER) within whole slide histopathology images

一种用于识别全切片组织病理图像中预后相关癌变区域的深度学习框架(DOVER)

Wang, Xiangxue; Zhou, Yufei; Barrera, Cristian; Chen, Yijiang; Song, Bolin; Lu, Cheng; Yang, Kailin; Koyfman, Shlomo; Lewis, James; Scahlper, Kurt; Madabhushi, Anant

Computational pathology features of immune architecture predict clinically relevant outcomes in small-cell lung cancer (SCLC)

免疫结构的计算病理学特征可预测小细胞肺癌(SCLC)的临床相关结果

Barrera, Cristian; Jain, Prantesh; Corredor, Germán; Dam, Tanmoy; Maurya, Himanshu; Pathak, Tilak; Beshai, Boulos; Perimbeti, Stuthi; Jagirdar, Jaishree; Higgins, Kristin; Dowlati, Afshin; Madabhushi, Anant

AID-FGS: Artificial intelligence-enabled diagnosis of female genital schistosomiasis: Preliminary findings

AID-FGS:人工智能辅助诊断女性生殖器血吸虫病:初步研究结果

Sharma, Akanksha; Dam, Tanmoy; Mwangelwa, Sepo; Kabengele, Chishiba; Kilembe, William; Vwalika, Bellington; Inambao, Mubiana; Secor, W Evan; Parker, Rachel; Skarkey, Tyronza; Allen, Susan; Madabhushi, Anant; Wall, Kristin M

Quantitative 3D Imaging of Mouse and Human Intrahepatic Bile Ducts in Homeostasis and Liver Injury.

小鼠和人类肝内胆管在稳态和肝损伤中的定量3D成像。

Hrncir Hannah R, Goodloe Brianna, Bombin Sergei, Sun Siyang J, Zhang Zelin, Madabhushi Anant, Gracz Adam D

Fundus Photograph-Derived Computational Features Predict Risk of Cardiovascular Events in the Chronic Renal Insufficiency Cohort Clinical Observational Study

眼底照片衍生的计算特征可预测慢性肾功能不全队列临床观察研究中心血管事件的风险

Dhamdhere, Rohan; Modanwal, Gourav; Mutha, Pushkar; Medina, Sebastian; Arepalli, Sruthi; Rahman, Mahboob; Al-Kindi, Sadeer; Madabhushi, Anant

Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging

用于从医学图像中优化识别稳健且可区分特征的变异性正则化特征选择(VaRFS)

Sadri, Amir Reza; Azarianpour, Sepideh; Chirra, Prathyush; Singh, Sneha; DeSilvio, Thomas; Madabhushi, Anant; Viswanath, Satish E

Pancancer outcome prediction via a unified weakly supervised deep learning model

基于统一弱监督深度学习模型的泛癌预后预测

Yuan, Wei; Chen, Yijiang; Zhu, Biyue; Yang, Sen; Zhang, Jiayu; Mao, Ning; Xiang, Jinxi; Li, Yuchen; Ji, Yuanfeng; Luo, Xiangde; Zhang, Kangning; Xing, Xiaohan; Kang, Shuo; Xiao, Dongyuan; Wang, Fang; Wu, Jinkun; Zhang, Haiyan; Tang, Hongping; Maurya, Himanshu; Corredor, German; Barrera, Cristian; Zhou, Yufei; Pandav, Krunal; Zhao, Junhan; Jain, Prantesh; Delasos, Luke; Huang, Junzhou; Yang, Kailin; Teknos, Theodoros N; Lewis, James Jr; Koyfman, Shlomo; Pennell, Nathan A; Yu, Kun-Hsing; Han, Xiao; Zhang, Jing; Wang, Xiyue; Madabhushi, Anant

BEEx Is an Open-Source Tool That Evaluates Batch Effects in Medical Images to Enable Multicenter Studies

BEEx 是一款开源工具,用于评估医学图像中的批次效应,以支持多中心研究。

Wu, Yuxin; Xu, Xiongjun; Cheng, Yuan; Zhang, Xiuming; Liu, Fanxi; Li, Zhenhui; Hu, Lei; Madabhushi, Anant; Gao, Peng; Liu, Zaiyi; Lu, Cheng

Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis

计算衍生的肾小管特征及其与间质微环境的空间关系在微小病变肾病/局灶节段性肾小球硬化症中的临床意义

Fan, Fan; Liu, Qian; Zee, Jarcy; Ozeki, Takaya; Demeke, Dawit; Yang, Yingbao; Bitzer, Markus; O'Connor, Christopher L; Farris, Alton B; Wang, Bangchen; Shah, Manav; Jacobs, Jackson; Mariani, Laura; Lafata, Kyle J; Rubin, Jeremy; Chen, Yijiang; Holzman, Lawrence B; Hodgin, Jeffrey B; Madabhushi, Anant; Barisoni, Laura; Janowczyk, Andrew