Search Results for author: Klaus Schoeffmann

Found 13 papers, 3 papers with code

Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection

no code implementations11 Dec 2023 Negin Ghamsarian, Yosuf El-Shabrawi, Sahar Nasirihaghighi, Doris Putzgruber-Adamitsch, Martin Zinkernagel, Sebastian Wolf, Klaus Schoeffmann, Raphael Sznitman

Besides, we initiate the research on domain adaptation for instrument segmentation in cataract surgery by evaluating cross-domain instrument segmentation performance in cataract surgery videos.

Benchmarking Domain Adaptation +4

Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning

no code implementations6 Dec 2023 Negin Ghamsarian, Doris Putzgruber-Adamitsch, Stephanie Sarny, Raphael Sznitman, Klaus Schoeffmann, Yosuf El-Shabrawi

The Pearson correlation and t-test results reveal significant correlations between lens unfolding delay and lens rotation and significant differences between the intra-operative rotations stability of four groups of lenses.

Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers

no code implementations1 Dec 2023 Sahar Nasirihaghighi, Negin Ghamsarian, Heinrich Husslein, Klaus Schoeffmann

In this paper, we introduce a comprehensive dataset tailored for relevant event recognition in laparoscopic gynecology videos.

Action Recognition in Video Recordings from Gynecologic Laparoscopy

no code implementations30 Nov 2023 Sahar Nasirihaghighi, Negin Ghamsarian, Daniela Stefanics, Klaus Schoeffmann, Heinrich Husslein

Action recognition is a prerequisite for many applications in laparoscopic video analysis including but not limited to surgical training, operation room planning, follow-up surgery preparation, post-operative surgical assessment, and surgical outcome estimation.

Action Recognition

Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

1 code implementation31 Jul 2023 Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman

However, the unreliability of pseudo labels can hinder the capability of self-training techniques to induce abstract representation from the unlabeled target dataset, especially in the case of large distribution gaps.

Domain Adaptation Image Segmentation +3

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

1 code implementation4 Jul 2022 Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann

Semantic segmentation in cataract surgery has a wide range of applications contributing to surgical outcome enhancement and clinical risk reduction.

Segmentation Semantic Segmentation

DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

no code implementations11 Sep 2021 Negin Ghamsarian, Mario Taschwer, Klaus Schoeffmann

This paper proposes a semantic segmentation network termed as DeepPyram that can achieve superior performance in segmenting relevant objects in cataract surgery videos with varying issues.

Segmentation Semantic Segmentation

LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos

1 code implementation2 Jul 2021 Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann

In particular, we propose (I) an end-to-end recurrent neural network to recognize the lens-implantation phase and (II) a novel semantic segmentation network to segment the lens and pupil after the implantation phase.

Segmentation Semantic Segmentation +1

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