Search Results for author: Max Allan

Found 8 papers, 3 papers with code

Learning Invariant Representation of Tasks for Robust Surgical State Estimation

no code implementations18 Feb 2021 Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian

The combination of high diversity and limited data calls for new learning methods that are robust and invariant to operating conditions and surgical techniques.

Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources

no code implementations7 Feb 2020 Yidan Qin, Sahba Aghajani Pedram, Seyedshams Feyzabadi, Max Allan, A. Jonathan McLeod, Joel W. Burdick, Mahdi Azizian

A crucial step towards the automation of such surgical tasks is the temporal perception of the current surgical scene, which requires a real-time estimation of the states in the FSMs.

2017 Robotic Instrument Segmentation Challenge

3 code implementations18 Feb 2019 Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis Herrera, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand the strengths and limitations of different algorithms via performance comparison.

Benchmarking Person Re-Identification +2

Deep Residual Learning for Instrument Segmentation in Robotic Surgery

1 code implementation24 Mar 2017 Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab

Detection, tracking, and pose estimation of surgical instruments are crucial tasks for computer assistance during minimally invasive robotic surgery.

Pose Estimation Segmentation

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