| 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 | 185 | 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 | 63 | 2017 |
| Graph attention multi-instance learning for accurate colorectal cancer staging A Raju, J Yao, MMH Haq, J Jonnagaddala, J Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 55 | 2020 |
| Deep implicit statistical shape models for 3d medical image delineation A Raju, S Miao, D Jin, L Lu, J Huang, AP Harrison proceedings of the AAAI conference on artificial intelligence 36 (2), 2135-2143, 2022 | 42 | 2022 |
| 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 | 36 | 2020 |
| M2CAI surgical tool detection challenge report A Raju, S Wang, J Huang Workshop and Challenges on Modeling and Monitoring of Computer Assisted …, 2016 | 31 | 2016 |
| 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, ... European Conference on Computer Vision, 257-274, 2020 | 26 | 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 | 19 | 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 | 15 | 2020 |
| Vedaldi A Bischof H Brox T Frahm JM et al A Raju Co-heterogeneous and adaptive segmentation from multi-source and multi-phase …, 2020 | 5 | 2020 |
| Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion C Hansen, S Glinskis, A Raju, M Kornreich, JH Park, J Pawar, R Herzog, ... arXiv preprint arXiv:2406.02477, 2024 | 1 | 2024 |
| User-guided domain adaptation for rapid annotation from user interactions for pathological organ segmentation AP Harrison, R Ashwin US Patent 11,823,379, 2023 | | 2023 |
| Improving Pathology Localization: Multi-series Joint Attention Takes the Lead A Raju, M Kornreich, C Hansen, J Browning, J Pawar, R Herzog, B Odry, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| 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 11,568,174, 2023 | | 2023 |
| Systems and methods for tumor characterization AP Harrison, Y Huo, CAI Jinzheng, R Ashwin, YAN Ke, L Lu US Patent 11,282,193, 2022 | | 2022 |
| Towards high performance cancer staging from histology images A Raju The University of Texas at Arlington, 2022 | | 2022 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu
