Nikhil Cherian Kurian

According to our database, Nikhil Cherian Kurian authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers.

Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis.

Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi

CoRR, 2023

Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis.

Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques.

Nikhil Cherian Kurian, Niraj Kumar

Proceedings of the IEEE Global Communications Conference, 2023

EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning.

Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Tripti Bameta, Subhash Yadav, Rajiv Kumar Kaushal, Swapnil Rane, Amit Sethi

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer.

Tirupati Saketh Chandra, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring.

Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 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

Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation.

Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi

CoRR, 2022

Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks.

Nikhil Cherian Kurian, S. Varsha, Akshay Bajpai, Sunil Patel, Amit Sethi

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network.

Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Mohit Meena, Saqib Shamsi, Amit Sethi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation.

Nikhil Cherian Kurian, Amit Lehan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021

A 2021 update on cancer image analytics with deep learning.

Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, Abhishek Mahajan, Swapnil Ulhas Rane

WIREs Data Mining Knowl. Discov., 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

Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers.

Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images.

Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Sample Specific Generalized Cross Entropy for Robust Histology Image Classification.

Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Robust Classification of Histology Images Exploiting Adversarial Auto Encoders.

Nikhil Cherian Kurian, Gurparkash Singh, Poorvi Hebbar, Shreekanya Kodate, Swapnil Rane, Amit Sethi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Satellite-Derived Bathymetry Using Deep Convolutional Neural Network.

Bibin Wilson, Nikhil Cherian Kurian, Anand Singh, Amit Sethi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Improving Histopathology Classification using Learnable Preprocessing.

Viraf Patrawala, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the TENCON 2019, 2019

2016

Time frequency analysis: A sparse S transform approach.

Kashyap Patel, Nikhil Cherian Kurian, Nithin V. George

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2016