Anand Shah

Anand Shah

Imperial College London

H-index: 22

Europe-United Kingdom

About Anand Shah

Anand Shah, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Fungal Immunobiology.

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

Combined approaches, including long-read sequencing, address the diagnostic challenge of HYDIN in primary ciliary dyskinesia

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

807 FO67–Airway dysbiosis in elite athletes: a focus to prevent infection?

Chronic Pulmonary Aspergillosis–A Guide for the General Physician

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training

AMR-Lung: a European Clinical Research Collaboration on antimicrobial resistance in chronic lung disease

Higher dose corticosteroids in patients admitted to hospital with COVID-19 who are hypoxic but not requiring ventilatory support (RECOVERY): a randomised, controlled, open …

Anand Shah Information

University

Position

___

Citations(all)

2754

Citations(since 2020)

2478

Cited By

688

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

38

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Anand Shah Skills & Research Interests

Fungal Immunobiology

Top articles of Anand Shah

Combined approaches, including long-read sequencing, address the diagnostic challenge of HYDIN in primary ciliary dyskinesia

2023/9/9

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

arXiv preprint arXiv:2403.06659

2024/3/11

807 FO67–Airway dysbiosis in elite athletes: a focus to prevent infection?

2024/3/1

Chronic Pulmonary Aspergillosis–A Guide for the General Physician

2024/1/26

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training

arXiv preprint arXiv:2312.01529

2023/12/3

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training

arXiv preprint arXiv:2312.01522

2023/12/3

AMR-Lung: a European Clinical Research Collaboration on antimicrobial resistance in chronic lung disease

2023/12/1

COVID-19 Associated Pulmonary Aspergillosis in Patients on Extracorporeal Membrane Oxygenation Treatment—A Retrospective Study

Journal of Fungi

2023/3/24

Empagliflozin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

The Lancet Diabetes & Endocrinology

2023/12/1

Breaking the mould, a first parse at natural language processing in aspergillosis diagnosis

Journal of Thoracic Disease

2023/1/1

P121 Upper and lower airway dysfunction in elite athletes

2023/11/1

S83 Long-term effects of SARS-CoV-2 on ciliogenesis through altered expression of FOXJ1

2023/11/1

T1 Alterations in vasoconstrictor biomarkers persist up to a year post-COVID-19 and are associated with pulmonary pathology

2023/11/1

Imitate: Clinical prior guided hierarchical vision-language pre-training

arXiv preprint arXiv:2310.07355

2023/10/11

Utilizing synthetic data for medical vision-language pre-training: Bypassing the need for real images

arXiv preprint arXiv:2310.07027

2023/10/10

M-FLAG: Medical vision-language pre-training with frozen language models and latent space geometry optimization

2023/10/1

The effect of inhaled corticosteroids on pneumonia risk in patients with COPD-bronchiectasis overlap: a UK population-based case-control study

Chest

2023/6/17

Pulmonary rehabilitation following hospitalised exacerbations in people with bronchiectasis

2023/9/9

See List of Professors in Anand Shah University(Imperial College London)