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Debarka Sengupta

Showing results (21-30 of 65) with videos related to

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The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|February 18, 2021
Ultrasound placental image texture analysis using artificial intelligence to predict hypertension in pregnancyKrishan Gupta, Kirti Balyan, Bhumika Lamba, et al.
Computational and Structural Biotechnology Journal|December 1, 2025
Advancing automated cell type annotation with large language models and single-cell isoform sequencingHettiarachchige Wijewardena, Saloni Bhatia, Namrata Bhattacharya, et al.
International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics|June 21, 2025
Ultrasound placental image texture analysis using artificial intelligence and deep learning models to predict hypertension in pregnancyUrvashi Arora, Palani Vigneshwar, Munagala Krishna Sai, et al.
American Journal of Perinatology|April 16, 2025
Use of Artificial Intelligence in Recognition of Fetal Open Neural Tube Defect on Prenatal UltrasoundManisha Kumar, Urvashi Arora, Debarka Sengupta, et al.
The FEBS Journal|October 21, 2020
Challenges and possible solutions for decoding extranasal olfactory receptorsSiddhant Kalra, Aayushi Mittal, Manisha Bajoria, et al.
Nucleic Acids Research|January 15, 2021
UniPath: a uniform approach for pathway and gene-set based analysis of heterogeneity in single-cell epigenome and transcriptome profilesSmriti Chawla, Sudhagar Samydurai, Say Li Kong, et al.
Nucleic Acids Research|December 4, 2020
UniPath: a uniform approach for pathway and gene-set based analysis of heterogeneity in single-cell epigenome and transcriptome profilesSmriti Chawla, Sudhagar Samydurai, Say Li Kong, et al.
Communications Biology|September 12, 2020
Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosisSiddhant Kalra, Aayushi Mittal, Krishan Gupta, et al.
Briefings in Bioinformatics|August 19, 2020
The Cellular basis of loss of smell in 2019-nCoV-infected individualsKrishan Gupta, Sanjay Kumar Mohanty, Aayushi Mittal, et al.
Genome Research|January 18, 2023
Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysisShreya Mishra, Neetesh Pandey, Smriti Chawla, et al.
Pageof 7

Showing results (21-30 of 65) with videos related to

Sort By:
Pageof 7
The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|February 18, 2021
Ultrasound placental image texture analysis using artificial intelligence to predict hypertension in pregnancyKrishan Gupta, Kirti Balyan, Bhumika Lamba, et al.
Computational and Structural Biotechnology Journal|December 1, 2025
Advancing automated cell type annotation with large language models and single-cell isoform sequencingHettiarachchige Wijewardena, Saloni Bhatia, Namrata Bhattacharya, et al.
International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics|June 21, 2025
Ultrasound placental image texture analysis using artificial intelligence and deep learning models to predict hypertension in pregnancyUrvashi Arora, Palani Vigneshwar, Munagala Krishna Sai, et al.
American Journal of Perinatology|April 16, 2025
Use of Artificial Intelligence in Recognition of Fetal Open Neural Tube Defect on Prenatal UltrasoundManisha Kumar, Urvashi Arora, Debarka Sengupta, et al.
The FEBS Journal|October 21, 2020
Challenges and possible solutions for decoding extranasal olfactory receptorsSiddhant Kalra, Aayushi Mittal, Manisha Bajoria, et al.
Nucleic Acids Research|January 15, 2021
UniPath: a uniform approach for pathway and gene-set based analysis of heterogeneity in single-cell epigenome and transcriptome profilesSmriti Chawla, Sudhagar Samydurai, Say Li Kong, et al.
Nucleic Acids Research|December 4, 2020
UniPath: a uniform approach for pathway and gene-set based analysis of heterogeneity in single-cell epigenome and transcriptome profilesSmriti Chawla, Sudhagar Samydurai, Say Li Kong, et al.
Communications Biology|September 12, 2020
Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosisSiddhant Kalra, Aayushi Mittal, Krishan Gupta, et al.
Briefings in Bioinformatics|August 19, 2020
The Cellular basis of loss of smell in 2019-nCoV-infected individualsKrishan Gupta, Sanjay Kumar Mohanty, Aayushi Mittal, et al.
Genome Research|January 18, 2023
Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysisShreya Mishra, Neetesh Pandey, Smriti Chawla, et al.
Pageof 7