Mahesan Niranjan - Publications, H-index & Citations

Mahesan Niranjan

university of southampton

34H指数

330论文数

4.6K被引数

收录论文 35

发表时间

Dynamic imaging markers of incident microhemorrhages and superficial siderosis in the A4 study: A longitudinal person–interval analysis A4研究中微出血和浅层含铁血黄素沉积的动态成像标志物：一项纵向个体-间隔分析

Alzheimers & Dementia

IF11.1

2026-08-28

OAAI

Callum Hill; Huw Morgan; Sofia Michopoulou; Mahesan Niranjan; Christopher M. Kipps

SliceFormer: deep dense depth estimation from a single indoor omnidirectional image using a slice-based transformer SliceFormer：基于切片式变压器的单幅室内全景图像深度密集估计

Multimedia Tools and Applications

IF3

2026-08-20

OAAI

Yihong Wu; Yuwen Heng; Mahesan Niranjan; Hansung Kim

A variational autoencoder for probabilistic non-negative matrix factorisation 变分自编码器用于概率非负矩阵分解

Pattern Analysis and Applications

IF2

2025-10-25

OAAI

Steven Squires; Adam Prügel Bennett; Mahesan Niranjan

Modeling molecular level mechanisms of oxidative stress generation induced by agrochemicals in CKDu initiation 模拟由农药诱导的氧化应激产生的分子水平机制在CKDu发病中的作用

Computational Toxicology

IF2.9

2025-09-29

OAAI

Samarawikcrama Wanni Arachchige Madushani Upamalika; Champi Thusangi Wannige; Sugandhima Mihirani Vidanagamachchi; Don Kulasiri; Mahesan Niranjan

Balancing misclassification errors in image-based inference using problem domain semantics and a nested cascade architecture 利用问题领域语义和嵌套级联架构平衡基于图像推断中的误分类误差

neural computing applications

IF0

2025-09-13

OAAI

Xin Du; Rajesh Jena; Katayoun Farrahi; Mahesan Niranjan

Medical image classification by incorporating clinical variables and learned features 通过纳入临床变量和所学特征进行医学图像分类

ROYAL SOCIETY OPEN SCIENCE

IF2.9

2025-03-12

OAAI

Liu, Jiahui; Cai, Xiaohao; Niranjan, Mahesan

Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment

SCIENTIFIC REPORTS

IF3.9

2025-03-03

OAAI

Scott, Joseph; Grant-Jacob, James A.; Praeger, Matthew; Coltart, George; Sutton, Jonathan; Zervas, Michalis N.; Niranjan, Mahesan; Eason, Robert W.; Healy, Eugene; Mills, Ben

Non-negative subspace feature representation for few-shot learning in medical

IMAGE AND VISION COMPUTING

IF4.2

2024-12-01

OAAI

Fan, Keqiang; Cai, Xiaohao; Niranjan, Mahesan

Delineation of psoriasis from uninvolved skin using an artificial neural network as a means of targeting phototherapy to psoriatic lesions

BRITISH JOURNAL OF DERMATOLOGY

IF9.6

2024-05-17

PREAI

Scott, Joseph; Praeger, Matthew; James, Grant-Jacobs; Barnsley, Josephine; Niranjan, Mahesan; Eason, Robert; Mills, Ben; Healy, Eugene

Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors ( vol 168 , 116653 , 2023)

BONE

IF3.6

2024-05-01

PREAI

Lu, Shengyu; Fuggle, Nicholas R.; Westbury, Leo D.; Bresail, Micheal O.; Bevilacqua, Gregorio; Ward, Kate A.; Dennison, Elaine M.; Mahmoodi, Sasan; Niranjan, Mahesan; Cooper, Cyrus

Integrated plasma proteomics identifies tuberculosis-specific diagnostic biomarkers 综合血浆蛋白质组学鉴定结核病特异性诊断生物标志物

JCI INSIGHT

IF6.1

2024-03-21

OAAI

Schiff, Hannah F.; Walker, Naomi F.; Ugarte-Gil, Cesar; Tebruegge, Marc; Manousopoulou, Antigoni; Garbis, Spiros D.; Mansour, Salah; Wong, Pak Ho (Michael); Rockett, Gabrielle; Piazza, Paolo; Niranjan, Mahesan; Vallejo, Andres F.; Woelk, Christopher H.; Wilkinson, Robert J.; Tezera, Liku B.; Garay-Baquero, Diana; Elkington, Paul

Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning 使用格兰杰因果关系和基于分数的结构学习对生理睡眠数据进行因果分析

SENSORS

IF3.5

2023-11-28

OAAI

Thomas, Alex; Niranjan, Mahesan; Legg, Julian

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

BRIEFINGS IN BIOINFORMATICS

IF7.7

2023-10-24

OAAI

Kubacki, Michal; Niranjan, Mahesan

Machine learning as an adjunct to expert observation in classification of radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study 机器学习作为影像学膝骨关节炎分类专家观察的辅助手段: 来自赫特福德郡队列研究的发现

AGING CLINICAL AND EXPERIMENTAL RESEARCH

IF3.4

2023-05-19

OAAI

Westbury, Leo D.; Fuggle, Nicholas R.; Pereira, Diogo; Oka, Hiroyuki; Yoshimura, Noriko; Oe, Noriyuki; Mahmoodi, Sasan; Niranjan, Mahesan; Dennison, Elaine M.; Cooper, Cyrus

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

BONE

IF3.6

2023-03-01

OAAI

Lu, Shengyu; Fuggle, Nicholas R.; Westbury, Leo D.; Breasail, Micheal O.; Bevilacqua, Gregorio; Ward, Kate A.; Dennison, Elaine M.; Mahmoodi, Sasan; Niranjan, Mahesan; Cooper, Cyrus

Convex Multi-View Clustering Via Robust Low Rank Approximation With Application to Multi-Omic Data

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS

IF3.4

2022-11-01

OAAI

Shetta, Omar; Niranjan, Mahesan; Dasmahapatra, Srinandan

Robustness under parameter and problem domain alterations of Bayesian optimization methods for chemical reactions

JOURNAL OF CHEMINFORMATICS

IF5.7

2022-09-01

OAAI

Khondaker, Rubaiyat Mohammad; Gow, Stephen; Kanza, Samantha; Frey, Jeremy G.; Niranjan, Mahesan

A review of reinforcement learning in chemistry

DIGITAL DISCOVERY

IF5.6

2022-01-01

OAAI

Gow, Stephen; Niranjan, Mahesan; Kanza, Samantha; Frey, Jeremy G.

The AI for Scientific Discovery Network+

PATTERNS

IF7.4

2021-01-01

OAAI

Kanza, Samantha; Bird, Colin Leonard; Niranjan, Mahesan; McNeill, William; Frey, Jeremy Graham

Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing

COMMUNICATIONS BIOLOGY

IF5.1

2020-12-04

OAAI

Stumpf, Patrick S.; Du, Xin; Imanishi, Haruka; Kunisaki, Yuya; Semba, Yuichiro; Noble, Timothy; Smith, Rosanna C. G.; Rose-Zerili, Matthew; West, Jonathan J.; Oreffo, Richard O. C.; Farrahi, Katayoun; Niranjan, Mahesan; Akashi, Koichi; Arai, Fumio; MacArthur, Ben D.

研究方向