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

Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants

基于深度学习的早产儿视网膜图像心肺疾病预测

Singh, Praveer; Kumar, Sourav; Tyagi, Riya; Young, Benjamin K; Jordan, Brian K; Scottoline, Brian; Evers, Patrick D; Ostmo, Susan; Coyner, Aaron S; Lin, Wei-Chun; Gupta, Aarushi; Erdogmus, Deniz; Chan, R V Paul; McCourt, Emily A; Barry, James S; McEvoy, Cindy T; Chiang, Michael F; Campbell, J Peter; Kalpathy-Cramer, Jayashree

Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based Screening

基于远程医疗筛查中血管严重程度定量评估的精准风险模型

Placide, John; Coyner, Aaron S; Ostmo, Susan R; Moshfeghi, Darius M; Chiang, Michael F; Kim, Sang Jin; Kalpathy-Cramer, Jayashree; Chan, R V Paul; Young, Benjamin K; Campbell, J Peter

Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging

利用深度学习从医学影像中的序数标签推断连续预测结果

Hoebel, Katharina V; Lemay, Andréanne; Campbell, John Peter; Ostmo, Susan; Chiang, Michael F; Bridge, Christopher P; Li, Matthew D; Singh, Praveer; Coyner, Aaron S; Kalpathy-Cramer, Jayashree

Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in Ophthalmology

潜在监督:一种提高眼科机器学习分类模型性能和校准的方法

Yazbeck, Hady; Assaf, Jad; Lietman, Tom M; Keenan, Jeremy D; Jackson, John; Kalpathy-Cramer, Jayashree; Campbell, J Peter; Song, Xubo; Redd, Travis K

Uncertainty-Aware Training for Ophthalmic Segmentation Using MedSAM

基于MedSAM的眼科分割不确定性感知训练

Clark, Christopher William; Kinder, Scott; Nebbia, Giacomo; Veturi, Yoga Advaith; McNamara, Steven; Manoharan, Niranjan; Forest, Talisa; Kahook, Malik; Mandava, Naresh; Singh, Praveer; Kalpathy-Cramer, Jayashree

Comparing Interactive Machine Learning and Unassisted Segmentation of Geographic Atrophy From Fundus Autofluorescence

比较基于眼底自发荧光图像的交互式机器学习和非辅助分割方法在地图状萎缩中的应用

Bearce, Benjamin; McNamara, Steve; Kinder, Scott; Manoharan, Niranjan; Lisker, Andres; Arguinchona, Lauren; Marks, Brittany; Roseto, Isabelle; Barrientos, Luis; Milner, Dallin; Gnanaraj, Ramya; Gill, Zafar; Tukel, Matthew; Abe-Ridgway, Kathryn; Mandava, Naresh; Singh, Praveer; Nebbia, Giacomo; Kalpathy-Cramer, Jayashree

Re-identification of patients from imaging features extracted by foundation models

基于基础模型提取的影像特征重新识别患者

Nebbia, Giacomo; Kumar, Sourav; McNamara, Stephen Michael; Bridge, Christopher; Campbell, J Peter; Chiang, Michael F; Mandava, Naresh; Singh, Praveer; Kalpathy-Cramer, Jayashree

A review of deep learning for brain tumor analysis in MRI

深度学习在磁共振成像脑肿瘤分析中的应用综述

Dorfner, Felix J; Patel, Jay B; Kalpathy-Cramer, Jayashree; Gerstner, Elizabeth R; Bridge, Christopher P

EyeLiner: A Deep Learning Pipeline for Longitudinal Image Registration Using Fundus Landmarks

EyeLiner:一种基于眼底标志点的纵向图像配准深度学习流程

Veturi, Yoga Advaith; McNamara, Steve; Kinder, Scott; Clark, Christopher William; Thakuria, Upasana; Bearce, Benjamin; Manoharan, Niranjan; Mandava, Naresh; Kahook, Malik Y; Singh, Praveer; Kalpathy-Cramer, Jayashree

Generalizable deep neural networks for image quality classification of cervical images

用于宫颈图像质量分类的通用深度神经网络

Ahmed, Syed Rakin; Befano, Brian; Egemen, Didem; Rodriguez, Ana Cecilia; Desai, Kanan T; Jeronimo, Jose; Ajenifuja, Kayode O; Clark, Christopher; Perkins, Rebecca; Campos, Nicole G; Inturrisi, Federica; Wentzensen, Nicolas; Han, Paul; Guillen, Diego; Norman, Judy; Goldstein, Andrew T; Madeleine, Margaret M; Donastorg, Yeycy; Schiffman, Mark; de Sanjose, Silvia; Kalpathy-Cramer, Jayashree