Neeraj Kumar

According to our database, Neeraj Kumar authored at least 17 papers between 2012 and 2023.

Collaborative distances:

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

2023

Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction.

Shiang Qi, Neeraj Kumar, Ruchika Verma, Jian-Yi Xu, Grace Shen-Tu, Russell Greiner

IEEE Trans. Biomed. Eng., December, 2023

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

CoRR, 2023

2022

Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi

IEEE Trans. Medical Imaging, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

IEEE Trans. Medical Imaging, 2021

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

Uncertainty Estimation in Cancer Survival Prediction.

Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi

CoRR, 2020

2019

Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.

Neeraj Kumar, Phani Krishna Uppala, Karthik Duddu, Hari Sreedhar, Vishal K. Varma, Grace Guzman, Michael J. Walsh, Amit Sethi

IEEE Trans. Medical Imaging, 2019

2018

Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients.

Neeraj Kumar, Amit Sethi

IEEE Trans. Multim., 2018

2017

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.

Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi

IEEE Trans. Medical Imaging, 2017

Convolutional neural networks for wavelet domain super resolution.

Neeraj Kumar, Ruchika Verma, Amit Sethi

Pattern Recognit. Lett., 2017

Convolutional neural networks for prostate cancer recurrence prediction.

Neeraj Kumar, Ruchika Verma, Ashish Arora, Abhay Kumar, Sanchit Gupta, Amit Sethi, Peter H. Gann

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

2016

Fast Learning-Based Single Image Super-Resolution.

Neeraj Kumar, Amit Sethi

IEEE Trans. Multim., 2016

Learning based super-resolution of histological images.

Abhishek Vahadane, Neeraj Kumar, Amit Sethi

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Detecting multiple sub-types of breast cancer in a single patient.

Ruchika Verma, Neeraj Kumar, Amit Sethi, Peter H. Gann

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Deep Learning-Based Image Kernel for Inductive Transfer.

Neeraj Kumar, Ranti Dev Sharma, Animesh Karmakar, Amit Sethi

CoRR, 2015

On spatial neighborhood of patch-based super resolution.

Neeraj Kumar, Amit Sethi

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2012

Learning to predict super resolution wavelet coefficients.

Neeraj Kumar, Naveen Kumar Rai, Amit Sethi

Proceedings of the 21st International Conference on Pattern Recognition, 2012