R. Soberanis-Mukul

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Felix Y Zhou, Mohammad Azam Khan, Shadi Albarqouni, 2020, Scientific Reports.

An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation pdf

Shadi Albarqouni, Nassir Navab, Roger D. Soberanis-Mukul, 2019, The Journal of Machine Learning for Biomedical Imaging.

Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting

Shadi Albarqouni, N. Navab, P. Klare, 2020 .

FOCAL LOSS FOR ARTEFACT DETECTION IN MEDICAL ENDOSCOPY

Roger D. Soberanis-Mukul, Shadi Albarqouni, N. Navab, 2019 .

Convolutional Neural Network U-Net for Trypanosoma cruzi Segmentation

Anabel Martin-Gonzalez, Roger Soberanis-Mukul, Allan Ojeda-Pat, 2020 .

Investigating keypoint descriptors for camera relocalization in endoscopy surgery

Russell H. Taylor, S. Vedula, M. Ishii, 2023, International Journal of Computer Assisted Radiology and Surgery.

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Xiaohong W. Gao, Victor B. Loschenov, Sharib Ali, 2020, Scientific Reports.

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement

Nassir Navab, Shadi Albarqouni, Roger D. Soberanis-Mukul, 2019, MIDL.

An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models

S. Vedula, R. Soberanis-Mukul, M. Sahu, 2024, International journal of computer assisted radiology and surgery.

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement

Shadi Albarqouni, Nassir Navab, Roger D. Soberanis-Mukul, 2019, MIDL.