Signaling local non-credibility in an automatic segmentation pipeline. - Joshua H. Levy; Robert E. Broadhurst; Surajit Ray; Edward L. Chaney; Stephen M. Pizer (Image Processing, 2007)

A Nonparametric Statistical Approach to Clustering via Mode Identification. - Jia Li; Surajit Ray; Bruce G. Lindsay 002 (J. Mach. Learn. Res., 2007)

Collaborative development of predictive toxicology applications. - Barry J. Hardy; Nicki Douglas; Christoph Helma; Micha Rautenberg; Nina Jeliazkova; Vedrin Jeliazkov; Ivelina Nikolova; Romualdo Benigni; Olga Tcheremenskaia; Stefan Kramer 001; Tobias Girschick; Fabian Buchwald; et al. (J. Cheminformatics, 2010)

Top Scoring Pairs for Feature Selection in Machine Learning and Applications to Cancer Outcome Prediction. - Ping Shi; Surajit Ray; Qifu Zhu; Mark A. Kon (BMC Bioinform., 2011)

On the upper bound of the number of modes of a multivariate normal mixture. - Surajit Ray; Dan Ren (J. Multivar. Anal., 2012)

On the Number of Modes of Finite Mixtures of Elliptical Distributions. - Grigory Alexandrovich; Hajo Holzmann; Surajit Ray (Algorithms from and for Nature and Life, 2013)

Functional principal component analysis of spatially correlated data. - Chong Liu; Surajit Ray; Giles Hooker (Stat. Comput., 2017)

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. - Michail Mamalakis; Andrew J. Swift; Bart Vorselaars; Surajit Ray; Simonne Weeks; Weiping Ding 001; Richard H. Clayton; Louise S. Mackenzie; Abhirup Banerjee (Comput. Medical Imaging Graph., 2021)

Deep Probability Contour Framework for Tumour Segmentation and Dose Painting in PET Images. - Wenhui Zhang; Surajit Ray (MICCAI (4), 2023)

Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation. - Wenhui Zhang; Abhirup Banerjee; Surajit Ray (DFUC@MICCAI, 2024)

Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. - Michail Mamalakis; Abhirup Banerjee; Surajit Ray; Craig Wilkie; Richard H. Clayton; Andrew J. Swift; George Panoutsos; Bart Vorselaars (Neural Comput. Appl., 2024)