Vijaya B. Kolachalama

According to our database, Vijaya B. Kolachalama authored at least 14 papers between 2007 and 2025.

Collaborative distances:

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

2025

ACTIVATION AND TARGETABILITY OF TYMP-IL-6-TF SIGNALING IN THE SKIN MICROENVIRONMENT IN UREMIC CALCIPHYLAXIS.

Vipul C. Chitalia, Ruben Dries, Vijaya B. Kolachalama, Yichi Zhang

Dataset, March, 2025

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching.

Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DREAMER: a computational framework to evaluate readiness of datasets for machine learning.

Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au, Vijaya B. Kolachalama

BMC Medical Informatics Decis. Mak., December, 2024

Graph Attention-Based Fusion of Pathology Images and Gene Expression for Prediction of Cancer Survival.

Yi Zheng, Regan D. Conrad, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama

IEEE Trans. Medical Imaging, September, 2024

Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals.

Xiao Zhou, Akshara Rao Balachandra, Michael F. Romano, Sang Peter Chin, Rhoda Au, Vijaya B. Kolachalama

IEEE Access, 2024

2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Graph-Transformer for Whole Slide Image Classification.

Yi Zheng, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama

IEEE Trans. Medical Imaging, 2022

Machine learning and pre-medical education.

Vijaya B. Kolachalama

Artif. Intell. Medicine, 2022

2021

Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns.

Rhoda Au, Vijaya B. Kolachalama, Ioannis Ch. Paschalidis

Frontiers Digit. Health, 2021

U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations.

Yichi Zhang, Jesper Kers, Clarissa A. Cassol, Joris J. Roelofs, Najia Idrees, Alik Farber, Samir Haroon, Kevin P. Daly, Suvranu Ganguli, Vipul C. Chitalia, Vijaya B. Kolachalama

CoRR, 2021

2019

Geometric determinants of local hemodynamics in severe carotid artery stenosis.

Dara Azar, William M. Torres, Lindsey A. Davis, Taylor Shaw, John F. Eberth, Vijaya B. Kolachalama, Susan M. Lessner, Tarek Shazly

Comput. Biol. Medicine, 2019

2018

Machine learning and medical education.

Vijaya B. Kolachalama, Priya S. Garg

npj Digit. Medicine, 2018

2008

Predictive Haemodynamics in a One-Dimensional Human Carotid Artery Bifurcation. Part II: Application to Graft Design.

Vijaya B. Kolachalama, Neil W. Bressloff, Prasanth B. Nair, Clifford P. Shearman

IEEE Trans. Biomed. Eng., 2008

2007

Predictive Haemodynamics in a One-Dimensional Human Carotid Artery Bifurcation. Part I: Application to Stent Design.

Vijaya B. Kolachalama, Neil W. Bressloff, Prasanth B. Nair, Clifford P. Shearman

IEEE Trans. Biomed. Eng., 2007