Marcel P. Schilling

According to our database, Marcel P. Schilling authored at least 13 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation.

Luca Rettenberger, Marcel P. Schilling, Stefan Elser, Moritz Böhland, Markus Reischl

IEEE Trans. Biomed. Eng., September, 2023

Datenzentriertes Deep Learning dür die Hochdurchsatzbildverarbeitung in interdisziplinären Projekten.

Marcel P. Schilling

PhD thesis, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

CoRR, 2023

Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging.

Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

AI²Seg: A Method and Tool for AI-based Annotation Inspection of Biomedical Instance Segmentation Datasets.

Marcel P. Schilling, Lukas Klinger, Ulrike Schumacher, Svenja Schmelzer, Miguel Bordallo López, Britta Nestler, Markus Reischl

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

KaIDA: a modular tool for assisting image annotation in deep learning.

Marcel P. Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl

J. Integr. Bioinform., 2022

EasyMLServe: Easy Deployment of REST Machine Learning Services.

Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut

CoRR, 2022

ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network.

Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr

CoRR, 2022

Automated Annotator Variability Inspection for Biomedical Image Segmentation.

Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl

IEEE Access, 2022

2021

Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks.

Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl

CoRR, 2021

Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten.

Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl

Autom., 2021

Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms.

Marcel P. Schilling, Svenja Schmelzer, Joaquín Eduardo Urrutia Gómez, Anna A. Popova, Pavel A. Levkin, Markus Reischl

IEEE Access, 2021

Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets.

Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021