In this paper, we present a novel application for elucidating all kind of videos that require expert knowledge, e.g., sport videos, medical videos etc., focusing on endoscopic surgery and video capsule endoscopy. In the medical domain, the knowledge of experts for tagging and interpretation of videos is of high value. As a result of the stressful working environment of medical doctors, they often simply do not have time for extensive annotations. We therefore present a semi-supervised method to gather the annotations in a very easy and time saving way for the experts and we show how this information can be used later on
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses...
Colon cancer accounts for almost 10% of all cancer cases worldwide. It is also the fourth most commo...
Abstract—For multiple reasons, the automatic annotation of video recordings is challenging. The amou...
In this paper, we present a novel application for elucidating all kind of videos that require expert...
Endoscopic video streams, as rich sources of information on the operating field, show great potentia...
Background Machine learning, especially deep learning, is becoming more and more relevant in resear...
Over the last few years it has become common to archive video recordings of endoscopic surgeries. Th...
In this paper we propose an architecture for processing endoscopic procedures results. The goal is ...
Abstract Artificial intelligence (AI) is predicted to have profound effects on the future of video c...
Artificial intelligence is being increasingly seen as a useful tool in medicine. Specifically, these...
In this paper we present a distributed solution for the acquisition, processing, ar- chiving and dif...
Self-supervised learning (SSL) has led to important breakthroughs in computer vision by allowing lea...
Thesis (Master's)--University of Washington, 2022Endoscopic endonasal surgery is a medical procedure...
International audienceContent-based video retrieval has shown promising results to help physicians i...
International audiencePurpose - Annotation of surgical videos is a time-consuming task which require...
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses...
Colon cancer accounts for almost 10% of all cancer cases worldwide. It is also the fourth most commo...
Abstract—For multiple reasons, the automatic annotation of video recordings is challenging. The amou...
In this paper, we present a novel application for elucidating all kind of videos that require expert...
Endoscopic video streams, as rich sources of information on the operating field, show great potentia...
Background Machine learning, especially deep learning, is becoming more and more relevant in resear...
Over the last few years it has become common to archive video recordings of endoscopic surgeries. Th...
In this paper we propose an architecture for processing endoscopic procedures results. The goal is ...
Abstract Artificial intelligence (AI) is predicted to have profound effects on the future of video c...
Artificial intelligence is being increasingly seen as a useful tool in medicine. Specifically, these...
In this paper we present a distributed solution for the acquisition, processing, ar- chiving and dif...
Self-supervised learning (SSL) has led to important breakthroughs in computer vision by allowing lea...
Thesis (Master's)--University of Washington, 2022Endoscopic endonasal surgery is a medical procedure...
International audienceContent-based video retrieval has shown promising results to help physicians i...
International audiencePurpose - Annotation of surgical videos is a time-consuming task which require...
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses...
Colon cancer accounts for almost 10% of all cancer cases worldwide. It is also the fourth most commo...
Abstract—For multiple reasons, the automatic annotation of video recordings is challenging. The amou...