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Richard A. D. Carano
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2020 – today
- 2024
- [c3]Philip Novosad, Richard A. D. Carano, Anitha Priya Krishnan:
A Task-Conditional Mixture-of-Experts Model for Missing Modality Segmentation. MICCAI (9) 2024: 34-43 - 2023
- [j3]Yury Petrov, Bilal Malik, Jill Fredrickson, Skander Jemaa, Richard A. D. Carano:
Deep Ensembles Are Robust to Occasional Catastrophic Failures of Individual DNNs for Organs Segmentations in CT Images. J. Imaging Inform. Medicine 36(5): 2060-2074 (2023) - 2022
- [j2]Xiaoyong Wang, Skander Jemaa, Jill Fredrickson, Alexandre Fernandez Coimbra, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson, Richard A. D. Carano:
Heart and bladder detection and segmentation on FDG PET/CT by deep learning. BMC Medical Imaging 22(1): 58 (2022) - [c2]Anitha Priya Krishnan, Roshan Reddy Upendra, Aniket Pramanik, Zhuang Song, Richard A. D. Carano:
Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance. SASHIMI@MICCAI 2022: 91-100 - 2020
- [j1]Skander Jemaa, Jill Fredrickson, Richard A. D. Carano, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson:
Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks. J. Digit. Imaging 33(4): 888-894 (2020) - [c1]Omid Bazgir, Kai Barck, Richard A. D. Carano, Robby M. Weimer, Luke Xie:
Kidney segmentation using 3D U-Net localized with Expectation Maximization. SSIAI 2020: 22-25 - [i1]Omid Bazgir, Kai Barck, Richard A. D. Carano, Robby M. Weimer, Luke Xie:
Kidney segmentation using 3D U-Net localized with Expectation Maximization. CoRR abs/2003.09075 (2020)
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last updated on 2024-10-11 18:22 CEST by the dblp team
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