Nikhil Cherian Kurian

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Convolutional Neural Network

Image Classification

Top Venues

IEEE Trans. Medical Imaging

Publications

Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers. BIOSTEC (1) (2024)
Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis. CoRR (2023)
Nikhil Cherian Kurian, Niraj Kumar
Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques. GLOBECOM (2023)
Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi
Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring. BIBE (2023)
Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Tripti Bameta, Subhash Yadav, Rajiv Kumar Kaushal, Swapnil Rane, Amit Sethi
EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning. BIOIMAGING (2023)
Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi
Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis. GRAIL/OCELOT@MICCAI (2023)
Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers. CoRR (2023)
Tirupati Saketh Chandra, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer. BIOIMAGING (2023)
Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring. CoRR (2023)
Nikhil Cherian Kurian, S. Varsha, Akshay Bajpai, Sunil Patel, Amit Sethi
Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks. ISBI (2022)
Tirupati Saketh Chandr, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer. CoRR (2022)
Nikhil Cherian Kurian, Amit Lehan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation. BIBE (2022)
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Mohit Meena, Saqib Shamsi, Amit Sethi
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. BrainLes@MICCAI (2) (2022)
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi, Mohit Meena, Amit Sethi
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. CoRR (2022)
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) (2022)
Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation. CoRR (2022)
Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images. ISBI (2021)
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) (2021)
Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, Abhishek Mahajan, Swapnil Ulhas Rane
A 2021 update on cancer image analytics with deep learning. WIREs Data Mining Knowl. Discov. 11 (4) (2021)
Nikhil Cherian Kurian, Gurparkash Singh, Poorvi Hebbar, Shreekanya Kodate, Swapnil Rane, Amit Sethi
Robust Classification of Histology Images Exploiting Adversarial Auto Encoders. EMBC (2021)
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi
Sample Specific Generalized Cross Entropy for Robust Histology Image Classification. ISBI (2021)
Bibin Wilson, Nikhil Cherian Kurian, Anand Singh, Amit Sethi
Satellite-Derived Bathymetry Using Deep Convolutional Neural Network. IGARSS (2020)
Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images. CoRR (2020)
Viraf Patrawala, Nikhil Cherian Kurian, Amit Sethi
Improving Histopathology Classification using Learnable Preprocessing. TENCON (2019)
Kashyap Patel, Nikhil Cherian Kurian, Nithin V. George
Time frequency analysis: A sparse S transform approach. ISPACS (2016)