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ORCIDMarcel P. Schilling
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2020 – today
- 2023
[b1]Marcel P. Schilling:
Datenzentriertes Deep Learning dür die Hochdurchsatzbildverarbeitung in interdisziplinären Projekten. Karlsruhe Institute of Technology, Germany, 2023, pp. 1-271- [j5]Luca Rettenberger
, Marcel P. Schilling, Stefan Elser, Moritz Böhland, Markus Reischl:
Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. IEEE Trans. Biomed. Eng. 70(9): 2519-2528 (2023) - [c3]Marcel P. Schilling, Lukas Klinger, Ulrike Schumacher, Svenja Schmelzer, Miguel Bordallo López, Britta Nestler, Markus Reischl:
AI2Seg: A Method and Tool for AI-based Annotation Inspection of Biomedical Instance Segmentation Datasets. EMBC 2023: 1-6 - [c2]Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut:
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. ISBI 2023: 1-5 - [i5]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:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - 2022
- [j4]Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl:
Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access 10: 2753-2765 (2022) - [j3]Marcel P. Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl:
KaIDA: a modular tool for assisting image annotation in deep learning. J. Integr. Bioinform. 19(4) (2022) - [i4]Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr:
ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. CoRR abs/2202.13960 (2022) - [i3]Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut:
EasyMLServe: Easy Deployment of REST Machine Learning Services. CoRR abs/2211.14417 (2022) - 2021
- [j2]Marcel P. Schilling, Svenja Schmelzer, Joaquín Eduardo Urrutia Gómez, Anna A. Popova, Pavel A. Levkin, Markus Reischl:
Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms. IEEE Access 9: 166027-166038 (2021) - [j1]Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl:
Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. Autom. 69(10): 892-902 (2021) - [c1]Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner:
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. VEHITS 2021: 22-33 - [i2]Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl:
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. CoRR abs/2111.13970 (2021) - 2020
- [i1]Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner:
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. CoRR abs/2012.01993 (2020)
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