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)

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)

Machine learning and medical education. - Vijaya B. Kolachalama; Priya S. Garg (npj Digit. Medicine, 2018)

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)

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)

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)

Machine learning and pre-medical education. - Vijaya B. Kolachalama (Artif. Intell. Medicine, 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)

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 (NeurIPS, 2023)

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)

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, 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., 2024)

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 (ICLR, 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 (Zenodo, 2025)