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2020 – today
- 2024
[i3]Malte Luttermann, Edgar Baake, Juljan Bouchagiar, Benjamin Gebel, Philipp Grüning, Dilini Manikwadura, Franziska Schollemann, Elisa Teifke, Philipp Rostalski, Ralf Möller:
Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain. CoRR abs/2405.03406 (2024)- 2023
- [c7]Kathleen Anderson, Philipp Grüning, Erhardt Barth:
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks. IJCNN 2023: 1-7 - 2022
- [i2]Philipp Grüning, Erhardt Barth:
Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks. CoRR abs/2201.02149 (2022) - 2021
- [c6]Philipp Grüning, Erhardt Barth:
FP-Nets for Blind Image Quality Assessment. HVEI 2021 - [c5]Philipp Grüning, Falk Nette, Noah Heldt, Ana Cristina Guerra de Souza, Erhardt Barth:
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning. MIDL 2021: 219-227 - 2020
- [j1]Neeraj Kumar
, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c4]Philipp Grüning, Thomas Martinetz, Erhardt Barth:
Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks. ICANN (2) 2020: 79-91 - [c3]Philipp Grüning, Amir Madany Mamlouk:
Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments. IJCNN 2020: 1-8 - [c2]Philipp Grüning, Alex Palumbo, Svenja Kim Landt, Lara Heckmann, Leslie Brackhagen, Marietta Zille, Amir Madany Mamlouk:
Robust and Markerfree in vitro Axon Segmentation with CNNs. MobiHealth 2020: 274-284 - [i1]Philipp Grüning, Thomas Martinetz, Erhardt Barth:
Feature Products Yield Efficient Networks. CoRR abs/2008.07930 (2020)
2010 – 2019
- 2012
- [c1]Philipp Grüning, Patrick Stüber, Lars Richter, Oliver Blanck, Ralf Bruder, Achim Schweikard:
Estimation for error sources for optical head tracking in cranial radiation therapy. CURAC 2012: 219-222
Coauthor Index
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