Moritz Böhland

According to our database, Moritz Böhland authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

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, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

Medical Image Anal., February, 2024

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

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

Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation.

Moritz Böhland, Roman Bruch, Simon Bäuerle, Luca Rettenberger, Markus Reischl

IEEE Access, 2023

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

2021

CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units.

Simon Bäuerle, Moritz Böhland, Jonas Barth, Markus Reischl, Andreas Steimer, Ralf Mikut

Autom., 2021

2020

Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching.

Tim Scherr, Katharina Löffler, Moritz Böhland, Ralf Mikut

CoRR, 2020

BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.

Tim Scherr, Karolin Streule, Andreas Bartschat, Moritz Böhland, Johannes Stegmaier, Markus Reischl, Véronique Orian-Rousseau, Ralf Mikut

Bioinform., 2020

2019

Automated design process for hybrid regression modeling with a one-class SVM.

Moritz Böhland, Wolfgang Doneit, Lutz Gröll, Ralf Mikut, Markus Reischl

Autom., 2019