Taylor L. Bobrow

According to our database, Taylor L. Bobrow authored at least 6 papers between 2018 and 2023.

Collaborative distances:

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

2023

Colonoscopy 3D video dataset with paired depth from 2D-3D registration.

Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan, Venkata S. Akshintala, Juan R. Garcia, Nicholas J. Durr

Medical Image Anal., December, 2023

2022

GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification.

Mayank Golhar, Taylor L. Bobrow, Saowanee Ngamruengphong, Nicholas J. Durr

CoRR, 2022

2021

EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.

Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Taylor L. Bobrow, Gulfize Coskun, Kagan Incetan, Yasin Almalioglu, Faisal Mahmood, Eva Curto, Luis Perdigoto, Marina Oliveira, Hasan Sahin, Helder Araújo, Henrique Alexandrino, Nicholas J. Durr, Hunter B. Gilbert, Mehmet Turan

Medical Image Anal., 2021

Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning.

Mayank Golhar, Taylor L. Bobrow, Mirmilad Pourmousavi Khoshknab, Simran Jit, Saowanee Ngamruengphong, Nicholas J. Durr

IEEE Access, 2021

2019

SLAM Endoscopy enhanced by adversarial depth prediction.

Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr

CoRR, 2019

2018

DeepLSR: Deep learning approach for laser speckle reduction.

Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas J. Durr

CoRR, 2018