Lena Maier-Hein

research

∙ 09/18/2023

Application-driven Validation of Posteriors in Inverse Problems

Current deep learning-based solutions for image analysis tasks are commo...

0 Tim J. Adler, et al. ∙

research

∙ 07/14/2023

Challenge Results Are Not Reproducible

While clinical trials are the state-of-the-art methods to assess the eff...

0 Annika Reinke, et al. ∙

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 03/22/2023

Self-distillation for surgical action recognition

Surgical scene understanding is a key prerequisite for contextaware deci...

2 Amine Yamlahi, et al. ∙

research

∙ 03/22/2023

Deployment of Image Analysis Algorithms under Prevalence Shifts

Domain gaps are among the most relevant roadblocks in the clinical trans...

2 Patrick Godau, et al. ∙

research

∙ 03/20/2023

Semantic segmentation of surgical hyperspectral images under geometric domain shifts

Robust semantic segmentation of intraoperative image data could pave the...

18 Jan Sellner, et al. ∙

research

∙ 03/17/2023

Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Synthetic medical image generation has evolved as a key technique for ne...

0 Kris K. Dreher, et al. ∙

research

∙ 02/13/2023

CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection

Formalizing surgical activities as triplets of the used instruments, act...

1 Chinedu Innocent Nwoye, et al. ∙

research

∙ 12/08/2022

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge

Timely and effective feedback within surgical training plays a critical ...

27 Aneeq Zia, et al. ∙

research

∙ 11/17/2022

Sources of performance variability in deep learning-based polyp detection

Validation metrics are a key prerequisite for the reliable tracking of s...

0 Thuy Nuong Tran, et al. ∙

research

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

research

∙ 12/15/2021

Ten years of image analysis and machine learning competitions in dementia

Machine learning methods exploiting multi-parametric biomarkers, especia...

8 Esther E. Bron, et al. ∙

research

∙ 11/09/2021

Robust deep learning-based semantic organ segmentation in hyperspectral images

Semantic image segmentation is an important prerequisite for context-awa...

13 Silvia Seidlitz, et al. ∙

research

∙ 09/30/2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

PURPOSE: Surgical workflow and skill analysis are key technologies for t...

10 Martin Wagner, et al. ∙

research

∙ 07/08/2021

Task Fingerprinting for Meta Learning in Biomedical Image Analysis

Shortage of annotated data is one of the greatest bottlenecks in biomedi...

19 Patrick Godau, et al. ∙

research

∙ 06/15/2021

Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis

Sepsis is a leading cause of mortality and critical illness worldwide. W...

69 Maximilian Dietrich, et al. ∙

research

∙ 05/28/2021

Video-rate multispectral imaging in laparoscopic surgery: First-in-human application

Multispectral and hyperspectral imaging (MSI/HSI) can provide clinically...

18 Leonardo Ayala, et al. ∙

research

∙ 05/20/2021

Semantic segmentation of multispectral photoacoustic images using deep learning

Photoacoustic imaging has the potential to revolutionise healthcare due ...

35 Janek Gröhl, et al. ∙

research

∙ 05/12/2021

The Federated Tumor Segmentation (FeTS) Challenge

This manuscript describes the first challenge on Federated Learning, nam...

18 Sarthak Pati, et al. ∙

research

∙ 04/12/2021

Common Limitations of Image Processing Metrics: A Picture Story

While the importance of automatic image analysis is increasing at an eno...

6 Annika Reinke, et al. ∙

research

∙ 03/29/2021

Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis

Photoacoustic tomography (PAT) has the potential to recover morphologica...

36 Melanie Schellenberg, et al. ∙

research

∙ 02/26/2021

Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge

Surgical data science is revolutionizing minimally invasive surgery by e...

45 Aneeq Zia, et al. ∙

research

∙ 01/04/2021

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

The stereo correspondence and reconstruction of endoscopic data sub-chal...

7 Max Allan, et al. ∙

research

∙ 12/22/2020

SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction

In computer vision, reference datasets have been highly successful in pr...

10 P. J. "Eddie'' Edwards, et al. ∙

research

∙ 12/15/2020

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks

Image registration is the basis for many applications in the fields of m...

9 Darya Trofimova, et al. ∙

research

∙ 11/10/2020

Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging

Multispectral photoacoustic imaging (PAI) is an emerging imaging modalit...

3 Jan-Hinrich Nölke, et al. ∙

research

∙ 11/10/2020

Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern

Purpose: Photoacoustic tomography (PAT) is a novel imaging technique tha...

11 Niklas Holzwarth, et al. ∙

research

∙ 11/05/2020

Deep learning for biomedical photoacoustic imaging: A review

Photoacoustic imaging (PAI) is a promising emerging imaging modality tha...

37 Janek Gröhl, et al. ∙

research

∙ 05/07/2020

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room

Image-based tracking of medical instruments is an integral part of many ...

33 Lena Maier-Hein, et al. ∙

research

∙ 03/23/2020

Robust Medical Instrument Segmentation Challenge 2019

Intraoperative tracking of laparoscopic instruments is often a prerequis...

13 Tobias Ross, et al. ∙

research

∙ 11/05/2019

Out of distribution detection for intra-operative functional imaging

Multispectral optical imaging is becoming a key tool in the operating ro...

0 Tim J. Adler, et al. ∙

research

∙ 10/11/2019

Methods and open-source toolkit for analyzing and visualizing challenge results

Biomedical challenges have become the de facto standard for benchmarking...

10 Manuel Wiesenfarth, et al. ∙

research

∙ 10/09/2019

BIAS: Transparent reporting of biomedical image analysis challenges

The number of biomedical image analysis challenges organized per year is...

12 Lena Maier-Hein, et al. ∙

research

∙ 07/05/2019

Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

In the medical domain, the lack of large training data sets and benchmar...

1 Micha Pfeiffer, et al. ∙

research

∙ 03/08/2019

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Purpose: Optical imaging is evolving as a key technique for advanced sen...

0 Tim J. Adler, et al. ∙

research

∙ 02/25/2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Semantic segmentation of medical images aims to associate a pixel with a...

0 Amber L. Simpson, et al. ∙

research

∙ 02/18/2019

2017 Robotic Instrument Segmentation Challenge

In mainstream computer vision and machine learning, public datasets such...

14 Max Allan, et al. ∙

research

∙ 02/15/2019

Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)

One of the main applications of photoacoustic (PA) imaging is the recove...

0 Janek Gröhl, et al. ∙

research

∙ 01/28/2019

An open-source software platform for translational photoacoustic research and its application to motion-corrected blood oxygenation estimation

Photoacoustic (PA) imaging systems based on clinical linear ultrasound a...

0 Thomas Kirchner, et al. ∙

research

∙ 08/14/2018

Analyzing Inverse Problems with Invertible Neural Networks

In many tasks, in particular in natural science, the goal is to determin...

20 Lynton Ardizzone, et al. ∙

research

∙ 06/08/2018

Surgical Data Science: A Consensus Perspective

Surgical data science is a scientific discipline with the objective of i...

0 Lena Maier-Hein, et al. ∙

research

∙ 06/06/2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

International challenges have become the standard for validation of biom...

10 Lena Maier-Hein, et al. ∙

research

∙ 05/07/2018

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery

Intraoperative segmentation and tracking of minimally invasive instrumen...

0 Sebastian Bodenstedt, et al. ∙

research

∙ 11/27/2017

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Purpose: Due to the breakthrough successes of deep learning-based soluti...

0 Tobias Ross, et al. ∙

research

∙ 06/19/2017

Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging

Intra-operative measurements of tissue shape and multi/ hyperspectral in...

0 Jianyu Lin, et al. ∙

research

∙ 11/25/2016

Clickstream analysis for crowd-based object segmentation with confidence

With the rapidly increasing interest in machine learning based solutions...

0 Eric Heim, et al. ∙

Lena Maier-Hein

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