Benjamin Chidester

According to our database, Benjamin Chidester authored at least 11 papers between 2013 and 2020.

Collaborative distances:

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

2020

A Multi-Organ Nucleus Segmentation Challenge.

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

IEEE Trans. Medical Imaging, 2020

2019

Rotation equivariant and invariant neural networks for microscopy image analysis.

Benjamin Chidester, Tianming Zhou, Minh N. Do, Jian Ma

Bioinform., 2019

Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation.

Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Rotation Equivariance and Invariance in Convolutional Neural Networks.

Benjamin Chidester, Minh N. Do, Jian Ma

CoRR, 2018

Discriminative bag-of-cells for imaging-genomics.

Benjamin Chidester, Minh N. Do, Jian Ma

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Integration of Spatial Distribution in Imaging-Genetics.

Vaishnavi Subramanian, Weizhao Tang, Benjamin Chidester, Jian Ma, Minh N. Do

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Correlating cellular features with gene expression using CCA.

Vaishnavi Subramanian, Benjamin Chidester, Jian Ma, Minh N. Do

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Histopathological image analysis with connections to genomics

Benjamin Chidester

PhD thesis, 2017

2014

Efficient Hybrid Tree-Based Stereo Matching With Applications to Postcapture Image Refocusing.

Dung T. Vu, Benjamin Chidester, Hongsheng Yang, Minh N. Do, Jiangbo Lu

IEEE Trans. Image Process., 2014

2013

Assisting the visually impaired using depth inference on mobile devices via stereo matching.

Benjamin Chidester, Minh N. Do

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Scribble2focus: An interactive photo refocusing system based on mobile stereo imaging.

Dung T. Vu, Benjamin Chidester, Jiangbo Lu, Minh N. Do

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013