Jeny Rajan

About Jeny Rajan

Jeny Rajan, With an exceptional h-index of 26 and a recent h-index of 22 (since 2020), a distinguished researcher at National Institute of Technology, Karnataka, specializes in the field of Image Processing, Medical Image Computing, Deep Learning, Computer Vision.

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

An automated deep learning pipeline for detecting user errors in spirometry test

Multilevel Multimodal framework for automatic collateral scoring in brain stroke

A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection

Forecasting Land-Use and Land-Cover Change using Hybrid CNN-LSTM Model

StrokeViT with AutoML for brain stroke classification

WideCaps: a wide attention-based capsule network for image classification

A deep ensemble learning-based CNN architecture for multiclass retinal fluid segmentation in oct images

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis

Jeny Rajan Information

University

Position

India

Citations(all)

2378

Citations(since 2020)

1550

Cited By

1329

hIndex(all)

26

hIndex(since 2020)

22

i10Index(all)

53

i10Index(since 2020)

45

Email

University Profile Page

National Institute of Technology, Karnataka

Google Scholar

View Google Scholar Profile

Jeny Rajan Skills & Research Interests

Image Processing

Medical Image Computing

Deep Learning

Computer Vision

Top articles of Jeny Rajan

Title

Journal

Author(s)

Publication Date

An automated deep learning pipeline for detecting user errors in spirometry test

Biomedical Signal Processing and Control

Siva Bonthada

Sankar Pariserum Perumal

Poornanand Purushottam Naik

Mahesh A Padukudru

Jeny Rajan

2024/4/1

Multilevel Multimodal framework for automatic collateral scoring in brain stroke

IEEE Access

Rishi Raj

Dayananda Pruthviraja

Ayush Gupta

Jimson Mathew

Santhosh Kumar Kannath

...

2024/2/21

A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection

AS Neethi

Santhosh Kumar Kannath

Adarsh Anil Kumar

Jimson Mathew

Jeny Rajan

2024/7/1

Forecasting Land-Use and Land-Cover Change using Hybrid CNN-LSTM Model

IEEE Geoscience and Remote Sensing Letters

Bhavesh Varma

Nitesh Naik

K Chandrasekaran

M Venkatesan

Jeny Rajan

2024/4/16

StrokeViT with AutoML for brain stroke classification

Engineering Applications of Artificial Intelligence

Rishi Raj

Jimson Mathew

Santhosh Kumar Kannath

Jeny Rajan

2023/3/1

WideCaps: a wide attention-based capsule network for image classification

Machine Vision and Applications

SJ Pawan

Rishi Sharma

Hemanth Reddy

M Vani

Jeny Rajan

2023/7

A deep ensemble learning-based CNN architecture for multiclass retinal fluid segmentation in oct images

IEEE Access

Mohammad Rahil

BN Anoop

GN Girish

Abhishek R Kothari

Shashidhar G Koolagudi

...

2023/2/14

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis

S Niyas

Shraddha Priya

Reena Oswal

Tojo Mathew

Jyoti R Kini

...

2023/5/6

Automated molecular subtyping of breast carcinoma using deep learning techniques

IEEE Journal of Translational Engineering in Health and Medicine

S Niyas

Ramya Bygari

Rachita Naik

Bhavishya Viswanath

Dhananjay Ugwekar

...

2023/2/6

A dual-stage semi-supervised pre-training approach for medical image segmentation

IEEE Transactions on Artificial Intelligence

Rajath C Aralikatti

SJ Pawan

Jeny Rajan

2023/5/3

Machine learning techniques for periodontitis and dental caries detection: A narrative review

RC Radha

BS Raghavendra

BV Subhash

Jeny Rajan

AV Narasimhadhan

2023/7/31

Attention-effective multiple instance learning on weakly stem cell colony segmentation

Intelligent Systems with Applications

Novanto Yudistira

Muthu Subash Kavitha

Jeny Rajan

Takio Kurita

2023/2/1

Assessment of Asthma BAL Cytokines using Machine Learning Techniques

Poornanand Purushottam Naik

Mahesh A Padukudru

Jeny Rajan

2023/4/5

A Comparative Study on End-to-End Learning for Self-Driving Cars

Shivam Kumar

Mohammad Asif Pir

Jeny Rajan

Basavaraj Talawar

2023/7/14

A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma

Engineering Applications of Artificial Intelligence

Tojo Mathew

CI Johnpaul

B Ajith

Jyoti R Kini

Jeny Rajan

2023/4/1

Attention-Based CRNN Models for Identification of Respiratory Diseases from Lung Sounds

J Sanjana

Poornanand Purushottam Naik

Mahesh A Padukudru

Shashidhar G Koolagudi

Jeny Rajan

2023/7/6

Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation

Govind Jeevan

SJ Pawan

Jeny Rajan

2022/9/18

Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey

Neurocomputing

S Niyas

SJ Pawan

M Anand Kumar

Jeny Rajan

2022/7/7

An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network

Dheeraj Kumar Srivastava

SJ Pawan

Jeny Rajan

2022/9/18

An empirical study of the impact of masks on face recognition

Pattern Recognition

Govind Jeevan

Geevar C Zacharias

Madhu S Nair

Jeny Rajan

2022/2/1

See List of Professors in Jeny Rajan University(National Institute of Technology, Karnataka)

Co-Authors

H-index: 85
Stefan Sunaert

Stefan Sunaert

Katholieke Universiteit Leuven

H-index: 78
Alexander Leemans

Alexander Leemans

Universiteit Utrecht

H-index: 74
Jan Sijbers

Jan Sijbers

Universiteit Antwerpen

H-index: 63
Luca Saba

Luca Saba

Università degli Studi di Cagliari

H-index: 43
Jelle Veraart

Jelle Veraart

New York University

H-index: 27
Prof. (Dr.) Madhu S. Nair

Prof. (Dr.) Madhu S. Nair

Cochin University of Science and Technology

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