Ashwin Raju
Ashwin Raju
Verified email at
Cited by
Cited by
Grandslam: Guaranteeing slas for jobs in microservices execution frameworks
RS Kannan, L Subramanian, A Raju, J Ahn, J Mars, L Tang
Proceedings of the Fourteenth EuroSys Conference 2019, 1-16, 2019
Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos
S Wang, A Raju, J Huang
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
M2CAI surgical tool detection challenge report
A Raju, S Wang, J Huang
Workshop and Challenges on Modeling and Monitoring of Computer Assisted …, 2016
Co-heterogeneous and adaptive segmentation from multi-source and multi-phase CT imaging data: A study on pathological liver and lesion segmentation
A Raju, CT Cheng, Y Huo, J Cai, J Huang, J Xiao, L Lu, CH Liao, ...
European Conference on Computer Vision, 448-465, 2020
Jssr: A joint synthesis, segmentation, and registration system for 3d multi-modal image alignment of large-scale pathological ct scans
F Liu, J Cai, Y Huo, CT Cheng, A Raju, D Jin, J Xiao, A Yuille, L Lu, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Graph attention multi-instance learning for accurate colorectal cancer staging
A Raju, J Yao, MMH Haq, J Jonnagaddala, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
A Raju, Z Ji, CT Cheng, J Cai, J Huang, J Xiao, L Lu, CH Liao, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
Harvesting, detecting, and characterizing liver lesions from large-scale multi-phase CT data via deep dynamic texture learning
Y Huo, J Cai, CT Cheng, A Raju, K Yan, BA Landman, J Xiao, L Lu, ...
arXiv preprint arXiv:2006.15691, 2020
Systems and methods for tumor characterization
AP Harrison, Y Huo, CAI Jinzheng, R Ashwin, YAN Ke, L Lu
US Patent App. 16/836,855, 2021
Co-heterogeneous and adaptive 3d pathological abdominal organ segmentation using multi-source and multi-phase clinical image datasets
AP Harrison, R Ashwin, Y Huo, CAI Jinzheng, L Lu
US Patent App. 17/089,257, 2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
A Raju, S Miao, CT Cheng, L Lu, M Han, J Xiao, CH Liao, J Huang, ...
arXiv preprint arXiv:2104.02847, 2021
The system can't perform the operation now. Try again later.
Articles 1–11