Dr. Sanjay Saxena

About Dr. Sanjay Saxena

Dr. Sanjay Saxena, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at International Institute of Information Technology, Bhubaneswar, specializes in the field of Data Science, Medical Image Analysis, Artificial Intelligence, Machine & Deep Learning.

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

Brain cancer and World Health Organization

Clinical applications implementation in neuro-oncology using machine learning approaches

WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans

Application and constraints of AI in radiomics and radiogenomics (RnR) studies of neuro-oncology

AI-driven estimation of O6 methylguanine-DNA-methyltransferase (MGMT) promoter methylation in glioblastoma patients: a systematic review with bias analysis

Fundamentals pipelines of radiomics and radiogenomics (RnR)

Multiomics studies for neuro-oncology

Genomic and genetic levels alteration in brain tumor

Dr. Sanjay Saxena Information

University

Position

Assistant Professor at (India) Post Doc(University of Pennsylvania) USA

Citations(all)

911

Citations(since 2020)

820

Cited By

159

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

26

i10Index(since 2020)

25

Email

University Profile Page

International Institute of Information Technology, Bhubaneswar

Google Scholar

View Google Scholar Profile

Dr. Sanjay Saxena Skills & Research Interests

Data Science

Medical Image Analysis

Artificial Intelligence

Machine & Deep Learning

Top articles of Dr. Sanjay Saxena

Title

Journal

Author(s)

Publication Date

Brain cancer and World Health Organization

Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm-Volume 1: Radiogenomics Flow Using Artificial Intelligence

Moirangthem Gelson Singh

Sanjay Saxena

Sarthak Padhi

Suvendu Rup

2024/1/1

Clinical applications implementation in neuro-oncology using machine learning approaches

Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm-Volume 1: Radiogenomics Flow Using Artificial Intelligence

Biswajit Jenaa

Ishan Ayusa

Sanjay Saxenab

2024/4/8

WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans

Multimedia Tools and Applications

Suchismita Das

Rajni Dubey

Biswajit Jena

Lung-Wen Tsai

Sanjay Saxena

2024/2/8

Application and constraints of AI in radiomics and radiogenomics (RnR) studies of neuro-oncology

Shovna Panda

Sarthak Padhi

Vitthal Gupta

Jasjit S Suri

Sanjay Saxena

2024/1/1

AI-driven estimation of O6 methylguanine-DNA-methyltransferase (MGMT) promoter methylation in glioblastoma patients: a systematic review with bias analysis

Mullapudi Venkata Sai Samartha

Navneet Kumar Dubey

Biswajit Jena

Gorantla Maheswar

Wen-Cheng Lo

...

2024/1/31

Fundamentals pipelines of radiomics and radiogenomics (RnR)

Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm-Volume 1: Radiogenomics Flow Using Artificial Intelligence

Ishan Ayusa

Biswajit Jenaa

Sanjay Saxenab

2024/4/8

Multiomics studies for neuro-oncology

Mullapudi Venkata Sai Samartha

Sakshi Arora

Shantilata Palei

Vitthal Gupta

Sanjay Saxena

2024/1/1

Genomic and genetic levels alteration in brain tumor

Shantilata Palei

Sakshi Arora

Sanjay Saxena

Niranjan Kaushik

2024/1/1

Analysis of depth variation of U-NET architecture for brain tumor segmentation

Multimedia Tools and Applications

Biswajit Jena

Sarthak Jain

Gopal Krishna Nayak

Sanjay Saxena

2023/3

Enhancing Interstitial Lung Disease Diagnosis Through Deep Learning Frameworks

Biswajit Jena

Ishan Ayus

Shantilata Palei

Sanjay Saxena

2023/11/17

Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation

Computers in Biology and Medicine

Sanjay Saxena

Biswajit Jena

Bibhabasu Mohapatra

Neha Gupta

Manudeep Kalra

...

2023/2/1

Precision Agriculture: ML and DL-Based Detection and Classification of Agricultural Pests

Shantilata Palei

Rakesh Kumar Lenka

Swoyam Siddharth Nayak

Rohan Mohanty

Biswajit Jena

...

2023/11/17

NIMG-48. ASSOCIATIONS BETWEEN HETEROGENEITY OBSERVED IN O-6-METHYLGUANINE-DNA METHYLTRANSFERASE (MGMT) ASSAY MEASUREMENTS AND MGMT-BASED IMAGING SIGNATURE BASED ON MRI AND DEEP …

Neuro-Oncology

Sanjay Saxena

Anahita Fathi Kazerooni

Erik Toorens

Spyridon Bakas

Hamed Akbari

...

2023/11/1

Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine …

Neural Computing and Applications

Sanjay Saxena

Aaditya Agrawal

Prasad Dash

Biswajit Jena

Narendra N Khanna

...

2023/6

Decentralized Pest Detection in Plants with Blockchain Integrated Machine Learning Models

Shantilata Palei

Rakesh Kumar Lenka

Soubhagya Ranjan Mallick

Sanjay Saxena

Pradyumna Kumar Tripathy

2024/2/19

Effect of learning parameters on the performance of the U-Net architecture for cell nuclei segmentation from microscopic cell images

Multimedia tools and applications

Suchsimita Das

Mahesh ku Swain

Gopal Krishna Nayak

Sanjay Saxena

SC Satpathy

2022/10

Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look

Vandana Kumari

Naresh Kumar

Sampath Kumar K

Ashish Kumar

Sanagala S Skandha

...

2023/12/4

Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review

Sudip Paul

Maheshrao Maindarkar

Sanjay Saxena

Luca Saba

Monika Turk

...

2022/1

Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai …

Jasjit S Suri

Sushant Agarwal

Biswajit Jena

Sanjay Saxena

Ayman El-Baz

...

2022/5/11

An exhaustive analytical study of U-Net architecture on two diverse biomedical imaging datasets of electron microscopy drosophila ssTEM and brain MRI BraTS-2021 for segmentation

SN Computer Science

Biswajit Jena

Gopal Krishna Nayak

Sudip Paul

Sanjay Saxena

2022/8/4

See List of Professors in Dr. Sanjay Saxena University(International Institute of Information Technology, Bhubaneswar)

Co-Authors

H-index: 68
Constantinos Koumenis

Constantinos Koumenis

University of Pennsylvania

H-index: 65
Donald M. O'Rourke

Donald M. O'Rourke

University of Pennsylvania

H-index: 63
Luca Saba

Luca Saba

Università degli Studi di Cagliari

H-index: 35
Hamed Akbari, MD, PhD

Hamed Akbari, MD, PhD

University of Pennsylvania

H-index: 28
MacLean Pancoast Nasrallah

MacLean Pancoast Nasrallah

University of Pennsylvania

H-index: 26
Mostafa M. Fouda

Mostafa M. Fouda

Idaho State University

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