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Avishek Chatterjee

Showing results (31-40 of 37) with videos related to

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Nature Cancer|February 5, 2022
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognosticationOlivier Morin, Martin Vallières, Steve Braunstein, et al.
Nuclear Medicine Communications|May 3, 2023
External validation of 18 F-FDG PET-based radiomic models on identification of residual oesophageal cancer after neoadjuvant chemoradiotherapyMaria J Valkema, Roelof J Beukinga, Avishek Chatterjee, et al.
Discover Oncology|April 3, 2026
Emerging nanoimmunotherapeutic strategies for breast cancerGauri Panzade, Atharva Anand Mahajan, Siva Parsad Panda, et al.
Cancers|August 7, 2021
Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning ModelsXiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, et al.
An International Journal on Information Fusion|June 6, 2022
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directionsYang Nan, Javier Del Ser, Simon Walsh, et al.
Therapeutic Advances in Medical Oncology|August 29, 2022
Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLCSimon A Keek, Esma Kayan, Avishek Chatterjee, et al.
Plos One|April 15, 2021
Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated studyAvishek Chatterjee, Guangyao Wu, Sergey Primakov, et al.
Pageof 4

Showing results (31-40 of 37) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 37 results.
Nature Cancer|February 5, 2022
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognosticationOlivier Morin, Martin Vallières, Steve Braunstein, et al.
Nuclear Medicine Communications|May 3, 2023
External validation of 18 F-FDG PET-based radiomic models on identification of residual oesophageal cancer after neoadjuvant chemoradiotherapyMaria J Valkema, Roelof J Beukinga, Avishek Chatterjee, et al.
Discover Oncology|April 3, 2026
Emerging nanoimmunotherapeutic strategies for breast cancerGauri Panzade, Atharva Anand Mahajan, Siva Parsad Panda, et al.
Cancers|August 7, 2021
Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning ModelsXiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, et al.
An International Journal on Information Fusion|June 6, 2022
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directionsYang Nan, Javier Del Ser, Simon Walsh, et al.
Therapeutic Advances in Medical Oncology|August 29, 2022
Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLCSimon A Keek, Esma Kayan, Avishek Chatterjee, et al.
Plos One|April 15, 2021
Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated studyAvishek Chatterjee, Guangyao Wu, Sergey Primakov, et al.
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