Sandeep Kaushik

According to our database, Sandeep Kaushik authored at least 19 papers between 2016 and 2025.

Collaborative distances:

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

2025

Medical Image De-Identification Benchmark Challenge.

Linmin Pei, Sutton Granger, Michael W. Rutherford, Ulrike Wagner, Tracy S. Nolan, Kirk E. Smith, Phillip Farmer, Peter Gu, Ambar Rana, Kailing Chen, Thomas Ferleman, Brian Park, Ye Wu, Jordan Kojouharov, Gargi Singh, Jon Lemon, Tyler Willis, Milos Vukadinovic, Grant Duffy, Bryan He, David Ouyang, Marco Pereanez, Daniel D. Samber, Derek A. Smith, Christopher Cannistraci, Zahi Fayad, David S. Mendelson, Michele Bufano, Elmar Kotter, Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden, Christopher Ablett, Silvia Siggillino, Sandeep Kaushik, Hongzhu Jiang, Sihan Xie, Zhiyu Wan, Alex Michie, Simon J. Doran, Angeline Aurelia Waly, Felix A. Nathaniel Liang, Humam Arshad Mustagfirin, Michelle Grace Felicia, Kuo Po Chih, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Nikolas Koutsoubis, Kyle Naddeo, Kartik Pandit, Tony O'Sullivan, Raj Krish, Qinyan Pan, Scott Gustafson, Benjamin Kopchick, Laura Opsahl-Ong, Andrea Olvera-Morales, Jonathan Pinney, Kathryn Johnson, Theresa Do, Juergen Klenk, Maria Diaz, Arti Singh, Rong Chai, David A. Clunie, Fred W. Prior, Keyvan Farahani

CoRR, July, 2025

Evaluation of Monte Carlo Dropout for Uncertainty Quantification in Multi-task Deep Learning-Based Glioma Subtyping.

Gonzalo Esteban Mosquera Rojas, Sebastian R. van der Voort, Carolin M. Pirkl, Sandeep Kaushik, Marion Smits, Stefan Klein

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2025

2022

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network.

Sandeep Kaushik, Mikael Bylund, Cristina Cozzini, Dattesh Shanbhag, Steven F. Petit, Jonathan J. Wyatt, Marion I. Menzel, Carolin M. Pirkl, Bhairav Mehta, Vikas Chauhan, Kesavadas Chandrasekharan, Joakim Jonsson, Tufve Nyholm, Florian Wiesinger, Bjoern H. Menze

CoRR, 2022

2021

Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks.

Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, Feibi Zeng, Takako Kurimoto, Sandeep Kaushik, Florian Wiesinger, Atsushi K. Kono, Takamichi Murakami

CoRR, 2021

Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning.

László Ruskó, Marta E. Capala, Vanda Czipczer, Bernadett Kolozsvári, Borbála Deák-Karancsi, Renáta Czabány, Bence Gyalai, Tao Tan, Zoltán Végváry, Emoke Borzasi, Zsófia Együd, Renáta Kószó, Viktor Paczona, Emese Fodor, Chad Bobb, Cristina Cozzini, Sandeep Kaushik, Barbara Darázs, Gerda M. Verduijn, Rachel Pearson, Ross Maxwell, Hazel Mccallum, Juan Antonio Hernández Tamames, Katalin Hideghéty, Steven F. Petit, Florian Wiesinger

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2019

Bioinformatics Approaches for Studying Alternative Splicing.

Prasoon Kumar Thakur, Hukam C. Rawal, Mina Obuca, Sandeep Kaushik

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Phylogenetic Analysis: Early Evolution of Life.

Himakshi Sarma, Sushmita Pradhan, Mattaparthi Venkata Satish Kumar, Sandeep Kaushik

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Nucleic-Acid Structure Database.

Airy Sanjeev, Mattaparthi Venkata Satish Kumar, Sandeep Kaushik

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Pathway Informatics.

Sarita Poonia, Smriti Chawla, Sandeep Kaushik, Debarka Sengupta

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Mutation Effects on 3D-Structural Reorganization Using HIV-1 Protease as a Case Study.

Biswa Ranjan Meher, Megha Vaishnavi, Mattaparthi Venkata Satish Kumar, Seema Patel, Sandeep Kaushik

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Protein Structure Visualization.

Sandeep Kaushik, Soumya Lipsa Rath

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Translational and Disease Bioinformatics.

Sandeep Kaushik, Chakrawarti Prasun, Deepak Sharma

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Functional Genomics.

Shalini Kaushik, Sandeep Kaushik, Deepak Sharma

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Text Mining Resources for Bioinformatics.

Sandeep Kaushik, Priyanka Baloni, Charu K. Midha

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Pharmacophore Development.

Balakumar Chandrasekaran, Nikhil Agrawal, Sandeep Kaushik

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Big data in healthcare: management, analysis and future prospects.

Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma, Sandeep Kaushik

J. Big Data, 2019

2018

Improving PET/MR brain quantitation with template-enhanced ZTE.

Gaspar Delso, Bradley J. Kemp, Sandeep Kaushik, Florian Wiesinger, Tetsuro Sekine

NeuroImage, 2018

Unraveling the mechanism of l-gulonate-3-dehydrogenase inhibition by ascorbic acid: Insights from molecular modeling.

Nikhil Agrawal, Md. Summon Hossain, Adam A. Skelton, Kambadur Muralidhar, Sandeep Kaushik

Comput. Biol. Chem., 2018

2016

GPNLPerf: Robust 4d Non-rigid Motion Correction for Myocardial Perfusion Analysis.

Sheshadri R. Thiruvenkadam, K. S. Shriram, Bhushan D. Patil, Gogin Nicolas, Maxime Teisseire, Cyril Cardon, Jérôme F. Knoplioch, Navneeth Subramanian, Sandeep Kaushik, Rakesh Mullick

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016