Pradeep Reddy Raamana

According to our database, Pradeep Reddy Raamana authored at least 13 papers between 2007 and 2024.

Collaborative distances:

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

2024

MRdataset : A unified and user-friendly interface to medical imaging datasets.

Harsh Sinha, Pradeep Reddy Raamana

J. Open Source Softw., April, 2024

2020

Kernel methods library for pattern analysis and machine learning in python.

Pradeep Reddy Raamana

CoRR, 2020

2018

graynet: single-subject morphometric networks for neuroscience connectivity applications.

Pradeep Reddy Raamana, Stephen C. Strother

J. Open Source Softw., 2018

mrivis: Medical image visualization library for neuroscience in python.

Pradeep Reddy Raamana, Stephen C. Strother

J. Open Source Softw., 2018

2017

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack

PLoS Comput. Biol., 2017

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.

Gaël Varoquaux, Pradeep Reddy Raamana, Denis A. Engemann, Andrés Hoyos Idrobo, Yannick Schwartz, Bertrand Thirion

NeuroImage, 2017

Optimizing fMRI preprocessing pipelines for block-design tasks as a function of age.

Nathan William Churchill, Pradeep Reddy Raamana, Robyn Spring, Stephen C. Strother

NeuroImage, 2017

Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience.

Pradeep Reddy Raamana, Stephen C. Strother

J. Open Source Softw., 2017

Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity.

Pradeep Reddy Raamana, Stephen C. Strother

J. Open Source Softw., 2017

2016

Novel histogram-weighted cortical thickness networks and a multi-scale analysis of predictive power in Alzheimer's disease.

Pradeep Reddy Raamana, Stephen C. Strother

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2013

Thickness NETwork (ThickNet) Features for the Detection of Prodromal AD.

Pradeep Reddy Raamana, Lei Wang, Mirza Faisal Beg

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

2012

Automated detection of amnestic mild cognitive impairment in community-dwelling elderly adults: A combined spatial atrophy and white matter alteration approach.

Yue Cui, Wei Wen, Darren M. Lipnicki, Mirza Faisal Beg, Jesse S. Jin, Suhuai Luo, Wanlin Zhu, Nicole A. Kochan, Simone Reppermund, Lin Zhuang, Pradeep Reddy Raamana, Tao Liu, Julian N. Trollor, Lei Wang, Henry Brodaty, Perminder S. Sachdev

NeuroImage, 2012

2007

Human Action Recognition in Table-Top Scenarios : An HMM-Based Analysis to Optimize the Performance.

Pradeep Reddy Raamana, Daniel Grest, Volker Krüger

Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007