Marcel P. Schilling

15 papers C 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging. IEEE Access Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2023	—	`conf`	AI EMBC Marcel P. Schilling, Lukas Klinger, Ulrike Schumacher, Svenja Schmelzer, Miguel Bordallo López, Britta Nestler, Markus Reischl
2023	—	`conf`	Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. ISBI Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR 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
2023	—	`—`	Datenzentriertes Deep Learning dür die Hochdurchsatzbildverarbeitung in interdisziplinären Projekten. Marcel P. Schilling
2023	J	`jnl`	Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. IEEE Trans. Biomed. Eng. Luca Rettenberger, Marcel P. Schilling, Stefan Elser, Moritz Böhland, Markus Reischl
2022	J	`jnl`	Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl
2022	J	`jnl`	EasyMLServe: Easy Deployment of REST Machine Learning Services. CoRR Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2022	J	`jnl`	KaIDA: a modular tool for assisting image annotation in deep learning. J. Integr. Bioinform. Marcel P. Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl
2022	J	`jnl`	ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. CoRR Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr
2021	J	`jnl`	Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. Autom. Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms. IEEE Access Marcel P. Schilling, Svenja Schmelzer, Joaquín Eduardo Urrutia Gómez, Anna A. Popova, Pavel A. Levkin, Markus Reischl
2021	J	`jnl`	Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. CoRR Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl
2021	C	`conf`	Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. VEHITS Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner
2020	J	`jnl`	Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. CoRR Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner