Anita Rau

According to our database, Anita Rau authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence.

Anita Rau, Mark Endo, Josiah Aklilu, Jaewoo Heo, Khaled Saab, Alberto Paderno, Jeffrey Jopling, F. Christopher Holsinger, Serena Yeung-Levy

CoRR, April, 2025

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI.

Alejandro Lozano, Min Woo Sun, James Burgess, Jeffrey J. Nirschl, Christopher Polzak, Yuhui Zhang, Liangyu Chen, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Collin Chiu, Orr Zohar, Xiaohan Wang, Alfred Seunghoon Song, Chia-Chun Chiang, Robert Tibshirani, Serena Yeung-Levy

CoRR, March, 2025

Video Action Differencing.

James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, Trevor Darrell, Serena Yeung-Levy

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.

Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Yuhui Zhang, Collin Chiu, Xiaohan Wang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SimCol3D - 3D reconstruction during colonoscopy challenge.

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

Medical Image Anal., 2024

Depth-Guided NeRF Training via Earth Mover's Distance.

Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

SimCol3D - 3D Reconstruction during Colonoscopy Challenge.

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

CoRR, 2023

Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments.

Pranav Vaid, Serena Yeung, Anita Rau

Proceedings of the Machine Learning for Healthcare Conference, 2023

Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.

Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov

Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

2022

Bimodal Camera Pose Prediction for Endoscopy.

Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov

CoRR, 2022

2020

Predicting Visual Overlap of Images Through Interpretable Non-metric Box Embeddings.

Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy.

Anita Rau, P. J. Eddie Edwards, Omer F. Ahmad, Paul Riordan, Mirek Janatka, Laurence B. Lovat, Danail Stoyanov

Int. J. Comput. Assist. Radiol. Surg., 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.

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

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.

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

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019