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2020 – today
- 2024
[j1]Swaraj Shekhar Nande
, Tommaso Rossi, Muhammad Idham Habibie, Mohamed Barhoumi, Krishna Palaparthy, Wassim Mansouri, Ashwin Raju, Riccardo Bassoli, Ernestina Cianca, Frank H. P. Fitzek, Mauro De Sanctis:
Satellite-based positioning enhanced by quantum synchronization. Comput. Networks 254: 110734 (2024)- [i6]Colin Hansen, Simas Glinskis, Ashwin Raju, Micha Kornreich, JinHyeong Park, Jayashri Pawar, Richard Herzog, Li Zhang, Benjamin Odry:
Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion. CoRR abs/2406.02477 (2024) - 2023
- [c8]Ashwin Raju, Micha Kornreich, Colin Hansen, James Browning, Jayashri Pawar, Richard Herzog, Benjamin Odry, Li Zhang:
Improving Pathology Localization: Multi-series Joint Attention Takes the Lead. MICCAI (6) 2023: 253-262 - 2022
- [c7]Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. AAAI 2022: 2135-2143 - 2021
- [i5]Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. CoRR abs/2104.02847 (2021) - 2020
- [c6]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. ECCV (13) 2020: 257-274 - [c5]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. ECCV (23) 2020: 448-465 - [c4]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. MICCAI (1) 2020: 457-467 - [c3]Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang:
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. MICCAI (5) 2020: 529-539 - [i4]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. CoRR abs/2005.12209 (2020) - [i3]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. CoRR abs/2005.13201 (2020) - [i2]Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning. CoRR abs/2006.15691 (2020) - [i1]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. CoRR abs/2009.02455 (2020)
2010 – 2019
- 2019
- [c2]Ram Srivatsa Kannan, Lavanya Subramanian, Ashwin Raju, Jeongseob Ahn, Jason Mars, Lingjia Tang:
GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks. EuroSys 2019: 34:1-34:16 - 2017
- [c1]Sheng Wang, Ashwin Raju, Junzhou Huang:
Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos. ISBI 2017: 620-623
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