Akshay V. Gaikwad

According to our database, Akshay V. Gaikwad authored at least 5 papers between 2015 and 2023.

Collaborative distances:

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

2023

Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images.

Harshit Varma, Akshay V. Gaikwad, Suyash P. Awate

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations.

Akshay V. Gaikwad, Harshit Varma, Suyash P. Awate

Proceedings of the IEEE International Conference on Image Processing, 2023

2021

Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations.

Akshay V. Gaikwad, Suyash P. Awate

Proceedings of the Information Processing in Medical Imaging, 2021

2020

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2015

A Statistical Model for Smooth Shapes in Kendall Shape Space.

Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015