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ORCIDNeeraj Kumar 0002
Person information
- affiliation: Indian Institute of Technology Guwahati, Guwahati (Assam), India
Other persons with the same name
- Neeraj Kumar — disambiguation page
- Neeraj Kumar 0001
![[0000-0002-3020-3947]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3020-3947")
(aka: Neeraj Kumar Nehra) — Thapar Institute of Engineering and Technology, Computer Science and Engineering Department, Patiala, India (and 1 more) - Neeraj Kumar 0003 — SnappyData Inc, Pune, India
- Neeraj Kumar 0004 — University of California, Santa Barbara, CA, USA (and 1 more)
- Neeraj Kumar 0005 — IIMT Engineering College, Meerut, India
- Neeraj Kumar 0006 — University of Washington, Seattle, WA, USA (and 2 more)
- Neeraj Kumar 0008 — NIT Kurukshetra, India
- Neeraj Kumar 0009 — Babasaheb Bhimrao Ambedkar University (BBAU), Lucknow, Uttar Pradesh, India
- Neeraj Kumar 0010 — Hike Private Limited, India
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2020 – today
- 2024
[j10]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:
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024)- 2023
- [j9]Shiang Qi, Neeraj Kumar, Ruchika Verma, Jian-Yi Xu, Grace Shen-Tu, Russell Greiner:
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction. IEEE Trans. Biomed. Eng. 70(12): 3389-3400 (2023) - [c7]Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner:
An Effective Meaningful Way to Evaluate Survival Models. ICML 2023: 28244-28276 - [i4]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:
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR abs/2305.18033 (2023) - [i3]Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner:
An Effective Meaningful Way to Evaluate Survival Models. CoRR abs/2306.01196 (2023) - 2022
- [j8]Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi:
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". IEEE Trans. Medical Imaging 41(4): 1000-1003 (2022) - 2021
- [j7]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:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - [c6]Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar:
Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021. SPACA 2021: 1-2 - [e1]Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar:
Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, SPACA 2021, Stanford University, Palo Alto, CA, USA, March 22-24, 2021. Proceedings of Machine Learning Research 146, PMLR 2021 [contents] - 2020
- [j6]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) - [i2]Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi:
Uncertainty Estimation in Cancer Survival Prediction. CoRR abs/2003.08573 (2020)
2010 – 2019
- 2019
- [j5]Neeraj Kumar, Phani Krishna Uppala, Karthik Duddu, Hari Sreedhar, Vishal K. Varma, Grace Guzman, Michael J. Walsh, Amit Sethi:
Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering. IEEE Trans. Medical Imaging 38(5): 1304-1313 (2019) - 2018
- [j4]Neeraj Kumar, Amit Sethi:
Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients. IEEE Trans. Multim. 20(2): 298-309 (2018) - 2017
- [j3]Neeraj Kumar, Ruchika Verma, Amit Sethi:
Convolutional neural networks for wavelet domain super resolution. Pattern Recognit. Lett. 90: 65-71 (2017) - [j2]Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi:
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology. IEEE Trans. Medical Imaging 36(7): 1550-1560 (2017) - [c5]Neeraj Kumar, Ruchika Verma, Ashish Arora, Abhay Kumar, Sanchit Gupta, Amit Sethi, Peter H. Gann:
Convolutional neural networks for prostate cancer recurrence prediction. Medical Imaging: Digital Pathology 2017: 101400H - 2016
- [j1]Neeraj Kumar, Amit Sethi:
Fast Learning-Based Single Image Super-Resolution. IEEE Trans. Multim. 18(8): 1504-1515 (2016) - [c4]Ruchika Verma, Neeraj Kumar, Amit Sethi, Peter H. Gann:
Detecting multiple sub-types of breast cancer in a single patient. ICIP 2016: 2648-2652 - [c3]Abhishek Vahadane, Neeraj Kumar, Amit Sethi:
Learning based super-resolution of histological images. ISBI 2016: 816-819 - 2015
- [c2]Neeraj Kumar, Amit Sethi:
On spatial neighborhood of patch-based super resolution. ICIP 2015: 497-501 - [i1]Neeraj Kumar, Ranti Dev Sharma, Animesh Karmakar, Amit Sethi:
Deep Learning-Based Image Kernel for Inductive Transfer. CoRR abs/1512.04086 (2015) - 2012
- [c1]Neeraj Kumar, Naveen Kumar Rai, Amit Sethi:
Learning to predict super resolution wavelet coefficients. ICPR 2012: 3468-3471
Coauthor Index
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