Nikhil Cherian Kurian

About Nikhil Cherian Kurian

Nikhil Cherian Kurian, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Indian Institute of Technology Bombay, specializes in the field of Deep Learning, Machine Learning, Medical image analysis, Signal Processing, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

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

Efficient quality control of whole slide pathology images with human-in-the-loop training

Abstract P5-01-01: Multiscale Deep Learning framework to capture systemic immune features in lymph nodes predictive of triple negative breast cancer outcome

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

Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large‐scale studies

Wssamnet: Weakly supervised semantic attentive medical image registration network

Nikhil Cherian Kurian Information

University

Position

___

Citations(all)

285

Citations(since 2020)

276

Cited By

28

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Indian Institute of Technology Bombay

Google Scholar

View Google Scholar Profile

Nikhil Cherian Kurian Skills & Research Interests

Deep Learning

Machine Learning

Medical image analysis

Signal Processing

Image Processing

Top articles of Nikhil Cherian Kurian

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2302.11488

Pranav Jeevan

Nikhil Cherian Kurian

Amit Sethi

2023/2/22

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

arXiv preprint arXiv:2307.08132

Ravi Kant Gupta

Nikhil Cherian Kurian

Pranav Jeevan

Amit Sethi

2023/7/16

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

Nikhil Cherian Kurian

Niraj Kumar

2023/12/4

Efficient quality control of whole slide pathology images with human-in-the-loop training

Journal of Pathology Informatics

Abhijeet Patil

Harsh Diwakar

Jay Sawant

Nikhil Cherian Kurian

Subhash Yadav

...

2023/1/1

Abstract P5-01-01: Multiscale Deep Learning framework to capture systemic immune features in lymph nodes predictive of triple negative breast cancer outcome

Cancer Research

Gregory Verghese

Mengyuan Li

Fangfang Liu

Amit Lohan

Nikhil Cherian

...

2023/3/1

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

2023/12/4

Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large‐scale studies

The Journal of Pathology

Gregory Verghese

Mengyuan Li

Fangfang Liu

Amit Lohan

Nikhil Cherian Kurian

...

2023/8

Wssamnet: Weakly supervised semantic attentive medical image registration network

arXiv preprint arXiv:2203.07114

Sahar Almahfouz Nasser

Nikhil Cherian Kurian

Saqib Shamsi

Mohit Meena

Amit Sethi

2022/3/5

Author’s reply to “MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge”

IEEE Transactions on Medical Imaging

Ruchika Verma

Neeraj Kumar

Abhijeet Patil

Nikhil Cherian Kurian

Swapnil Rane

...

2022/4/1

A deep learning pipeline to capture the prognostic immune responses in lymph nodes of breast cancer patients

Cancer Research

Gregory Verghese

Mengyuan Li

Amit Lohan

Nikhil Cherian

Swapnil Rane

...

2022/6/15

Cautious artificial intelligence improves outcomes and trust by flagging outlier cases

JCO Clinical Cancer Informatics

Abhiraj S Kanse

Nikhil C Kurian

Himanshu P Aswani

Zakia Khan

Peter H Gann

...

2022/10

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction …

Marc Aubreville

David Zimmerer

Mattias Heinrich

2022/3/1

Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers

NC KURIAN

A SETHI

2022

Multi-Modal Information Fusion for Classification of Kidney Abnormalities

S Varsha

Sahar Almahfouz Nasser

Gouranga Bala

Nikhil Cherian Kurian

Amit Sethi

2022/3/28

Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer

arXiv preprint arXiv:2209.09193

Tirupati Saketh Chandr

Sahar Almahfouz Nasser

Nikhil Cherian Kurian

Amit Sethi

2022/9/15

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

...

2022/11/7

EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning

arXiv preprint arXiv:2208.12506

Ravi Kant Gupta

Shivani Nandgaonkar

Nikhil Cherian Kurian

Swapnil Rane

Amit Sethi

2022/8/26

Improved histology image classification under label noise via feature aggregating memory banks

Nikhil Cherian Kurian

S Varsha

Akshay Bajpai

Sunil Patel

Amit Sethi

2022/3/28

Abstract PO-014: Deep learning-based segmentation accurately captures histological features in cancer-free lymph nodes of breast cancer patients

Clinical Cancer Research

Gregory Verghese

Anita Grigoriadis

Amit Sethi

Amit Lohan

Nikhil Cherian

...

2021/3/1

Sample specific generalized cross entropy for robust histology image classification

Nikhil Cherian Kurian

Pragati Shuddhodhan Meshram

Abhijeet Patil

Sunil Patel

Amit Sethi

2021/4/13

See List of Professors in Nikhil Cherian Kurian University(Indian Institute of Technology Bombay)

Co-Authors

H-index: 57
Peter Gann

Peter Gann

University of Illinois at Chicago

H-index: 27
Amit Sethi

Amit Sethi

Indian Institute of Technology Bombay

H-index: 25
Nithin George

Nithin George

Indian Institute of Technology Gandhinagar

H-index: 9
Deepak Anand

Deepak Anand

Indian Institute of Technology Bombay

H-index: 8
Abhijeet Patil

Abhijeet Patil

Indian Institute of Technology Bombay

H-index: 5
Kashyap Patel

Kashyap Patel

Indian Institute of Technology Gandhinagar

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