Neeraj Kumar

Orcid: 0000-0002-3221-3831

Affiliations:
  • Indian Institute of Technology Guwahati, Guwahati (Assam), India


According to our database1, Neeraj Kumar authored at least 19 papers between 2012 and 2024.

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Bibliography

2024
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Medical Image Anal., 2024

2023
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction.
IEEE Trans. Biomed. Eng., December, 2023

An Effective Meaningful Way to Evaluate Survival Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".
IEEE Trans. Medical Imaging, 2022

2021
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging, 2021

Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021.
Proceedings of AAAI Symposium on Survival Prediction, 2021

2020
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

Uncertainty Estimation in Cancer Survival Prediction.
CoRR, 2020

2019
Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.
IEEE Trans. Medical Imaging, 2019

2018
Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients.
IEEE Trans. Multim., 2018

2017
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.
IEEE Trans. Medical Imaging, 2017

Convolutional neural networks for wavelet domain super resolution.
Pattern Recognit. Lett., 2017

Convolutional neural networks for prostate cancer recurrence prediction.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

2016
Fast Learning-Based Single Image Super-Resolution.
IEEE Trans. Multim., 2016

Learning based super-resolution of histological images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Detecting multiple sub-types of breast cancer in a single patient.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Deep Learning-Based Image Kernel for Inductive Transfer.
CoRR, 2015

On spatial neighborhood of patch-based super resolution.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2012
Learning to predict super resolution wavelet coefficients.
Proceedings of the 21st International Conference on Pattern Recognition, 2012


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