Vijaya B. Kolachalama

18 papers A* 3Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic memory-augmented retrieval and evidence grounding for medical question-answering tasks. Int. J. Medical Informatics Shuyue Jia, Subhrangshu Bit, Varuna H. Jasodanand, Yi Liu, Vijaya B. Kolachalama
2026	J	`jnl`	FourierMIL: Fourier Filtering-based Multiple Instance Learning for Whole Slide Image Analysis. Int. J. Comput. Vis. Yi Zheng, Harsh Sharma, Margrit Betke, Jonathan D. Cherry, Jesse B. Mez, Jennifer E. Beane, Vijaya B. Kolachalama
2026	J	`jnl`	Higher-Order Domain Generalization in Magnetic Resonance-Based Assessment of Alzheimer's Disease. CoRR Zobia Batool, Diala Lteif, Vijaya B. Kolachalama, Huseyin Ozkan, Erchan Aptoula
2025	A*	`conf`	Active feature acquisition via explainability-driven ranking. ICML Osman Berke Güney, Ketan Suhaas Saichandran, Karim Elzokm, Ziming Zhang, Vijaya B. Kolachalama
2025	A*	`conf`	GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. ICLR Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama
2024	J	`jnl`	Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals. IEEE Access Xiao Zhou, Akshara Rao Balachandra, Michael F. Romano, Sang Peter Chin, Rhoda Au, Vijaya B. Kolachalama
2024	J	`jnl`	DREAMER: a computational framework to evaluate readiness of datasets for machine learning. BMC Medical Informatics Decis. Mak. Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au, Vijaya B. Kolachalama
2024	J	`jnl`	Graph Attention-Based Fusion of Pathology Images and Gene Expression for Prediction of Cancer Survival. IEEE Trans. Medical Imaging Yi Zheng, Regan D. Conrad, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama
2023	A*	`conf`	InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama
2022	J	`jnl`	A Graph-Transformer for Whole Slide Image Classification. IEEE Trans. Medical Imaging Yi Zheng, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama
2022	J	`jnl`	A graph-transformer for whole slide image classification. CoRR Yi Zheng, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama
2022	J	`jnl`	Machine learning and pre-medical education. Artif. Intell. Medicine Vijaya B. Kolachalama
2021	J	`jnl`	Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns. Frontiers Digit. Health Rhoda Au, Vijaya B. Kolachalama, Ioannis Ch. Paschalidis
2021	J	`jnl`	U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations. CoRR 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
2019	J	`jnl`	Geometric determinants of local hemodynamics in severe carotid artery stenosis. Comput. Biol. Medicine Dara Azar, William M. Torres, Lindsey A. Davis, Taylor Shaw, John F. Eberth, Vijaya B. Kolachalama, Susan M. Lessner, Tarek Shazly
2018	J	`jnl`	Machine learning and medical education. npj Digit. Medicine Vijaya B. Kolachalama, Priya S. Garg
2008	J	`jnl`	Predictive Haemodynamics in a One-Dimensional Human Carotid Artery Bifurcation. Part II: Application to Graft Design. IEEE Trans. Biomed. Eng. Vijaya B. Kolachalama, Neil W. Bressloff, Prasanth B. Nair, Clifford P. Shearman
2007	J	`jnl`	Predictive Haemodynamics in a One-Dimensional Human Carotid Artery Bifurcation. Part I: Application to Stent Design. IEEE Trans. Biomed. Eng. Vijaya B. Kolachalama, Neil W. Bressloff, Prasanth B. Nair, Clifford P. Shearman