Abhishek Sengupta

According to our database, Abhishek Sengupta authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Precision at its Core: Machine Learning-Infused Metabolomics Model for Preterm Birth Prediction in Human.

Ansh Tandon, Tushar Gupta, Aysha Verma, Sudeepti Kulshrestha, Riya Dua, Sharvin Varghese, Romasha Gupta, Nagma Abbasi, Priyanka Narad, Ankur Chaurasia, Abhishek Sengupta

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Predictive Modeling of Recurrent Implantation Failure and Pre-eclampsia Using Machine Learning and Gene Expression Profiling.

Priyanka Sharma, Shruti Pandey, Sonalika Ray, Mohit Mazumder, Payal Gupta, Abhishek Sengupta, Ankur Chaurasia, Abhishek Sengupta

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Predictive Modeling of Recurrent Implantation Failure and Pre-eclampsia Using Machine Learning and Gene Expression Profiling.

Priyanka Sharma, Shruti Pandey, Sonalika Ray, Mohit Mazumder, Payal Gupta, Abhishek Sengupta, Ankur Chaurasia, Abhishek Sengupta

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

An efficient High-Volume Production Performance Screening using On-Chip Ring Oscillators.

Tobias Kilian, Abhishek Sengupta, Daniel Tille, Martin Huch, Ulf Schlichtmann

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2023

2020

Towards optogenetic vision restoration with high resolution.

Ulisse Ferrari, Stéphane Deny, Abhishek Sengupta, Romain Caplette, Francesco Trapani, José-Alain Sahel, Deniz Dalkara, Serge Picaud, Jens Duebel, Olivier Marre

PLoS Comput. Biol., 2020

2017

Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models.

Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

A statistical model for stroke outcome prediction and treatment planning.

Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016