Mahesan Niranjan

Mahesan Niranjan

University of Southampton

H-index: 38

Europe-United Kingdom

About Mahesan Niranjan

Mahesan Niranjan, With an exceptional h-index of 38 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Southampton,

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

Integrated plasma proteomics identifies tuberculosis-specific diagnostic biomarkers

Orthogonal Approach to Equalizing Protected Attributes on Disease Diagnosis

Protein language models meet reduced amino acid alphabets

Corrigendum to" Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors"[Bone. 2023 Mar: 168: 116653]

SliceFormer: Deep Dense Depth Estimation from a Single Indoor Omnidirectional Image Using a Slice-Based Transformer

Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging

Arbitrary Shaped Water Region Detection with Deep Learning for Unmanned Aerial Vehicle-Based Imagery

Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes

Mahesan Niranjan Information

University

Position

___

Citations(all)

8580

Citations(since 2020)

2971

Cited By

6546

hIndex(all)

38

hIndex(since 2020)

23

i10Index(all)

121

i10Index(since 2020)

42

Email

University Profile Page

University of Southampton

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View Google Scholar Profile

Top articles of Mahesan Niranjan

Title

Journal

Author(s)

Publication Date

Integrated plasma proteomics identifies tuberculosis-specific diagnostic biomarkers

JCI insight

Hannah F Schiff

Naomi Walker

Cesar Ugarte-Gil

Marc Tebruegge

Antigoni Manousopoulou

...

2024/3/21

Orthogonal Approach to Equalizing Protected Attributes on Disease Diagnosis

Jiahui Liu

Xiaohao Cai

Mahesan Niranjan

2024/2/13

Protein language models meet reduced amino acid alphabets

Bioinformatics

Ioan Ieremie

Rob M Ewing

Mahesan Niranjan

2024/2/1

Corrigendum to" Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors"[Bone. 2023 Mar: 168: 116653]

Bone

Shengyu Lu

Nicholas R Fuggle

Leo D Westbury

Mícheál Ó Breasail

Gregorio Bevilacqua

...

2024/5/1

SliceFormer: Deep Dense Depth Estimation from a Single Indoor Omnidirectional Image Using a Slice-Based Transformer

Yihong Wu

Yuwen Heng

Mahesan Niranjan

Hansung Kim

2024/1/28

Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging

arXiv preprint arXiv:2404.02656

Keqiang Fan

Xiaohao Cai

Mahesan Niranjan

2024/4/3

Arbitrary Shaped Water Region Detection with Deep Learning for Unmanned Aerial Vehicle-Based Imagery

M Pravina

MB Dissanayake

M Niranjan

2023

Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes

arXiv preprint arXiv:2311.14733

Jiahui Liu

Xiaohao Cai

Mahesan Niranjan

2023/11/21

Machine learning as an adjunct to expert observation in classification of radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study

Aging Clinical and Experimental Research

Leo D Westbury

Nicholas R Fuggle

Diogo Pereira

Hiroyuki Oka

Noriko Yoshimura

...

2023/7

A Survey of Loss Functions for SegNet for Mosquito Breeding Site Detection

P Mylvaganam

MB Dissanayake

M Niranjan

2023

Few-shot Learning for Inference in Medical Imaging with Subspace Feature Representations

arXiv preprint arXiv:2306.11152

Jiahui Liu

Keqiang Fan

Xiaohao Cai

Mahesan Niranjan

2023/6/19

EpiCURB: Learning to Derive Epidemic Control Policies

IEEE Pervasive Computing

Andrei C Rusu

Katayoun Farrahi

Mahesan Niranjan

2023/11/20

Depth estimation for a single omnidirectional image with reversed-gradient warming-up thresholds discriminator

Yihong Wu

Yuwen Heng

Mahesan Niranjan

Hansung Kim

2023/6/4

Depth Insight--Contribution of Different Features to Indoor Single-image Depth Estimation

arXiv preprint arXiv:2311.10042

Yihong Wu

Yuwen Heng

Mahesan Niranjan

Hansung Kim

2023/11/16

GO-LDA: Generalised optimal linear discriminant analysis

arXiv preprint arXiv:2305.14568

Jiahui Liu

Xiaohao Cai

Mahesan Niranjan

2023/5/23

IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer

Keqiang Fan

Xiaohao Cai

Mahesan Niranjan

2023/11/14

Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors

Bone

Shengyu Lu

Nicholas R Fuggle

Leo D Westbury

Mícheál Ó Breasail

Gregorio Bevilacqua

...

2023/3/1

Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning

Sensors

Alex Thomas

Mahesan Niranjan

Julian Legg

2023/11/28

Quantum annealing-based clustering of single cell RNA-seq data

Briefings in Bioinformatics

Michal Kubacki

Mahesan Niranjan

2023/11/1

OA22 Machine learning and computer vision of bone microarchitecture can improve the fracture risk prediction provided by DXA and clinical risk factors

Rheumatology

Nicholas R Fuggle

Shengyu Lu

Mícheál Ó Breasail

Leo D Westbury

Kate A Ward

...

2022/5/1

See List of Professors in Mahesan Niranjan University(University of Southampton)

Co-Authors

H-index: 74
Mark Girolami

Mark Girolami

University of Cambridge

H-index: 73
Neil D. Lawrence

Neil D. Lawrence

University of Cambridge

H-index: 35
Koushik Maharatna

Koushik Maharatna

University of Southampton

H-index: 30
Nicholas Gibbins

Nicholas Gibbins

University of Southampton

H-index: 23
Srinandan Dasmahapatra

Srinandan Dasmahapatra

University of Southampton

H-index: 21
David Lovell

David Lovell

Queensland University of Technology

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