activity
20192023
most citedBimodal Camera Pose Prediction for Endoscopy

39 citations · 70 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 6 cited

Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy

Anita Rau, Binod Bhattarai, Lourdes Agapito +1

Colorectal cancer remains one of the deadliest cancers in the world. In recent years computer-aided methods have aimed to enhance cancer screening and improve the quality and avail…

cs.CV2023★ 25 cited

SimCol3D -- 3D Reconstruction during Colonoscopy Challenge

Anita Rau, Sophia Bano, Yueming Jin +19

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps…

cs.CV2022★ 39 cited

Bimodal Camera Pose Prediction for Endoscopy

Anita Rau, Binod Bhattarai, Lourdes Agapito +1

Deducing the 3D structure of endoscopic scenes from images is exceedingly challenging. In addition to deformation and view-dependent lighting, tubular structures like the colon pre…

cs.CV2020

Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings

Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov +2

To what extent are two images picturing the same 3D surfaces? Even when this is a known scene, the answer typically requires an expensive search across scale space, with matching a…

q-bio.NC2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology

Neil P. Oxtoby, Fabio S. Ferreira, Agoston Mihalik +12

We predicted residual fluid intelligence scores from T1-weighted MRI data available as part of the ABCD NP Challenge 2019, using morphological similarity of grey-matter regions acr…

q-bio.NC2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression

Agoston Mihalik, Mikael Brudfors, Maria Robu +12

We applied several regression and deep learning methods to predict fluid intelligence scores from T1-weighted MRI scans as part of the ABCD Neurocognitive Prediction Challenge (ABC…