A Statistical Model for Smooth Shapes in Kendall Shape Space. - Akshay V. Gaikwad; Saurabh J. Shigwan; Suyash P. Awate (MICCAI (3), 2015)

Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. - Saurabh J. Shigwan; Akshay V. Gaikwad; Suyash P. Awate (ISBI, 2020)

Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations. - Akshay V. Gaikwad; Suyash P. Awate (IPMI, 2021)

Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations. - Akshay V. Gaikwad; Harshit Varma; Suyash P. Awate (ICIP, 2023)

Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images. - Harshit Varma; Akshay V. Gaikwad; Suyash P. Awate (ISBI, 2023)