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Anant Vemuri
Researcher at German Cancer Research Center
Publications - 31
Citations - 356
Anant Vemuri is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Multispectral image & Deep learning. The author has an hindex of 8, co-authored 30 publications receiving 290 citations. Previous affiliations of Anant Vemuri include French Institute for Research in Computer Science and Automation & Memorial Hospital of South Bend.
Papers
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Journal ArticleDOI
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Tobias Ross,David Zimmerer,Anant Vemuri,Fabian Isensee,Manuel Wiesenfarth,Sebastian Bodenstedt,Fabian Both,Philip Kessler,Martin Wagner,Beat Müller,Hannes Kenngott,Stefanie Speidel,Annette Kopp-Schneider,Klaus H. Maier-Hein,Lena Maier-Hein +14 more
TL;DR: In this article, the authors proposed a self-supervised learning approach for pre-training of CNNs for medical instrument segmentation using unlabeled video data from the target domain.
Journal ArticleDOI
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
Sara Moccia,Sebastian J. Wirkert,Hannes Kenngott,Anant Vemuri,Martin Apitz,Benjamin F. B. Mayer,Elena De Momi,Leonardo S. Mattos,Lena Maier-Hein +8 more
TL;DR: This paper significantly enhances the state of art in automatic labeling of endoscopic videos by introducing the use of the confidence metric, and by being the first study to use MI data for in vivo laparoscopic tissue classification.
Book ChapterDOI
Physiological Parameter Estimation from Multispectral Images Unleashed
Sebastian J. Wirkert,Anant Vemuri,Hannes Kenngott,Sara Moccia,Michael Götz,Benjamin F. B. Mayer,Klaus H. Maier-Hein,Daniel S. Elson,Lena Maier-Hein +8 more
TL;DR: The first transfer learning-based method to physiological parameter estimation from multispectral images relies on a highly generic tissue model that aims to capture the full range of optical tissue parameters that can potentially be observed in vivo.
Journal ArticleDOI
Deformable three-dimensional model architecture for interactive augmented reality in minimally invasive surgery
TL;DR: The approach involves providing a deformable 3D model architecture and its application to the operating room and the general feedback from the surgeons has been very positive not only in deciding the positions for inserting points but also in knowing the least change in anatomy.
Journal ArticleDOI
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.
Tim Adler,Lynton Ardizzone,Anant Vemuri,Leonardo Ayala,Janek Gröhl,Thomas Kirchner,Sebastian J. Wirkert,Jakob Kruse,Carsten Rother,Ullrich Köthe,Lena Maier-Hein +10 more
TL;DR: A novel approach to the assessment of optical imaging modalities, which is sensitive to the different types of uncertainties that may occur when inferring tissue parameters, is presented, which could help to optimize optical camera design in an application-specific manner.