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Anita Rau
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2020 – today
- 2025
- [e2]Binod Bhattarai, Sharib Ali, Anita Rau, Razvan Caramalau, Anh Nguyen, Prashnna K. Gyawali, Ana I. L. Namburete
, Danail Stoyanov
:
Data Engineering in Medical Imaging - Second MICCAI Workshop, DEMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15265, Springer 2025, ISBN 978-3-031-73747-3 [contents] - 2024
- [j2]Anita Rau
, Sophia Bano
, Yueming Jin, Pablo Azagra, Javier Morlana, Rawen Kader
, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, Laurence B. Lovat, José M. M. Montiel, Danail Stoyanov:
SimCol3D - 3D reconstruction during colonoscopy challenge. Medical Image Anal. 96: 103195 (2024) - [c6]Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy:
Depth-Guided NeRF Training via Earth Mover's Distance. ECCV (64) 2024: 1-17 - [i5]Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy:
Depth-guided NeRF Training via Earth Mover's Distance. CoRR abs/2403.13206 (2024) - 2023
- [c5]Anita Rau, Binod Bhattarai
, Lourdes Agapito, Danail Stoyanov:
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. DEMI@MICCAI 2023: 111-122 - [c4]Pranav Vaid, Serena Yeung, Anita Rau:
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments. MLHC 2023: 736-753 - [e1]Binod Bhattarai
, Sharib Ali, Anita Rau, Anh Nguyen, Ana I. L. Namburete, Razvan Caramalau, Danail Stoyanov
:
Data Engineering in Medical Imaging - First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14314, Springer 2023, ISBN 978-3-031-44991-8 [contents] - [i4]Anita Rau, Sophia Bano
, Yueming Jin, Pablo Azagra, Javier Morlana, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, José M. M. Montiel, Danail Stoyanov:
SimCol3D - 3D Reconstruction during Colonoscopy Challenge. CoRR abs/2307.11261 (2023) - [i3]Anita Rau, Binod Bhattarai
, Lourdes Agapito, Danail Stoyanov:
Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. CoRR abs/2310.01663 (2023) - 2022
- [i2]Anita Rau, Binod Bhattarai
, Lourdes Agapito, Danail Stoyanov:
Bimodal Camera Pose Prediction for Endoscopy. CoRR abs/2204.04968 (2022) - 2020
- [c3]Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov:
Predicting Visual Overlap of Images Through Interpretable Non-metric Box Embeddings. ECCV (5) 2020: 629-646 - [i1]Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov:
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings. CoRR abs/2008.05785 (2020)
2010 – 2019
- 2019
- [j1]Anita Rau
, P. J. Eddie Edwards, Omer F. Ahmad, Paul Riordan, Mirek Janatka, Laurence B. Lovat
, Danail Stoyanov:
Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy. Int. J. Comput. Assist. Radiol. Surg. 14(7): 1167-1176 (2019) - [c2]Neil P. Oxtoby
, Fabio S. Ferreira
, Ágoston Mihalik
, Tong Wu
, Mikael Brudfors
, Hongxiang Lin
, Anita Rau
, Stefano B. Blumberg
, Maria Robu
, Cemre Zor
, Maira Tariq
, Mar Estarellas Garcia
, Baris Kanber
, Daniil I. Nikitichev
, Janaina Mourão Miranda
:
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI 2019: 114-123 - [c1]Ágoston Mihalik
, Mikael Brudfors
, Maria Robu
, Fabio S. Ferreira
, Hongxiang Lin
, Anita Rau
, Tong Wu
, Stefano B. Blumberg
, Baris Kanber
, Maira Tariq
, Mar Estarellas Garcia
, Cemre Zor
, Daniil I. Nikitichev
, Janaina Mourão Miranda
, Neil P. Oxtoby
:
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI 2019: 133-142
Coauthor Index
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last updated on 2025-01-13 22:31 CET by the dblp team
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