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T. Shadbahr · SciRah

Researcher profile · Semantic Scholar

T. Shadbahr

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T. Shadbahr — researcher profile on SciRah

h-index: 7
Works: 15
Citations: 1,075

Most-cited papers

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M. Roberts, D. Driggs, M. Thorpe, J. Gilbey +50 more
2020Nature Machine Intelligence1,033 citations Open access
Semantic Scholar
SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
Shuyu Zheng, Wenyu Wang, Jehad Aldahdooh, A. Malyutina +4 more
2022Genomics, Proteomics & Bioinformatics640 citations Open access
Semantic Scholar
The impact of imputation quality on machine learning classifiers for datasets with missing values
T. Shadbahr, M. Roberts, Jan Stanczuk, J. Gilbey +14 more
2022Communications Medicine152 citations Open access
Semantic Scholar
Recent methodological advances in federated learning for healthcare
Fan Zhang, D. Kreuter, Yichen Chen, Sören Dittmer +31 more
2023Patterns142 citations Open access
Semantic Scholar
DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal
Shuyu Zheng, Jehad Aldahdooh, T. Shadbahr, Yin-Yin Wang +4 more
2021bioRxiv113 citations Open access
Semantic Scholar
BPR3P0128, a non-nucleoside RNA-dependent RNA polymerase inhibitor, inhibits SARS-CoV-2 variants of concern and exerts synergistic antiviral activity in combination with remdesivir
Wen-Fang Tang, Yu-Hsiu Chang, Cheng-Chin Lin, Jia-Rong Jheng +25 more
2024Antimicrobial Agents and Chemotherapy12 citations Open access
Semantic Scholar
Navigating the development challenges in creating complex data systems
Sören Dittmer, M. Roberts, J. Gilbey, A. Biguri +26 more
2022Nature Machine Intelligence9 citations Open access
Semantic Scholar
SynergyFinder Plus: towards a better interpretation and annotation of drug combination screening datasets
Shuyu Zheng, Wenyu Wang, Jehad Aldahdooh, A. Malyutina +3 more
2021bioRxiv7 citations Open access
Semantic Scholar
MRI-Targeted Prostate Biopsy Introduces Grade Inflation and Overtreatment
Oussama Batouche, E. Czeizler, Timo-Pekka K Lehto, Andrew Erickson +6 more
2024medRxiv4 citations Open access
Semantic Scholar
Targeting SARS-CoV-2 RNA-dependent RNA polymerase with the coumarin derivative BPR2-D2: Evidence from cell-based and enzymatic studies.
Wen-Fang Tang, Hui-Ping Tsai, Yuan-Fan Chin, Shan-Ko Tsai +25 more
2025Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie3 citations Open access
Semantic Scholar
A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data
Anna Breger, I. Selby, M. Roberts, J. Babar +29 more
2023Scientific Data3 citations Open access
Semantic Scholar
Abstract B021: Current oncological large language model research lacks reproducibility, transparency, and long term support
T. Shadbahr, A. Rannikko, T. Mirtti, T. D. Laajala
2025Clinical Cancer Research2 citations
Semantic Scholar
Comparable recurrence risk for MRI‐detected Gleason Grade Group (GG) 2 and systematic biopsy‐detected GG1 prostate cancer
Oussama Batouche, E. Czeizler, Timo-Pekka K Lehto, Andrew Erickson +5 more
2025BJU International1 citations Open access
Semantic Scholar
Application of variations of non-linear CCA for feature selection in drug sensitivity prediction
T. Shadbahr
20191 citations
Semantic Scholar
An Excursion Through Quantitative Model Refinement
Sepinoud Azimi, E. Czeizler, C. Gratie, Diana-Elena Gratie +6 more
2015Int. Conf. on Membrane Computing1 citations
Semantic Scholar
Abstract B018: Practical benchmarking of large language models for structuring synthetic prostate cancer histopathology statements in English and Finnish
T. Shadbahr, A. Rannikko, T. Mirtti, T. D. Laajala
2025Clinical Cancer Research0 citations
Semantic Scholar
LEVERAGING ADULT BRAIN TUMOUR AI MODELS TO PREDICT PAEDIATRIC NEUROONCOLOGY SURVIVAL
T. Shadbahr, J. Ruffle, Liam Burrows, Ivano Palladino +3 more
2025Neuro-Oncology0 citations Open access
Semantic Scholar

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