Publications

A detailed list of my publications can be found on my Google Scholar profile.

2021

Jia, Y., Kaul, C., Lawton, T., Murray-Smith, R. and Habli, I., 2021. Prediction of weaning from mechanical ventilation using convolutional neural networks. Artificial intelligence in medicine, 117, p.102087.

Kaul, C., Pears, N., Dai, H., Murray-Smith, R. and Manandhar, S., 2021, April. Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 1042-1046). IEEE.

Kaul C., Pears N., Dai H., Murray-Smith R., Manandhar S. (2021) Penalizing Small Errors Using an Adaptive Logarithmic Loss. In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12661. Springer, Cham. https://doi.org/10.1007/978-3-030-68763-2_28

2020

Kaul, C., Pears, N. and Manandhar, S., 2021, January. FatNet: A feature-attentive network for 3D point cloud processing. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 7211-7218). IEEE.

2019

Kaul, C., 2019. Models of Visual Attention in Deep Residual CNNs (Doctoral dissertation, University of York).

Kaul, C., Pears, N. and Manandhar, S., 2019. Sawnet: A spatially aware deep neural network for 3d point cloud processing. arXiv preprint arXiv:1905.07650.

Kaul, C., Manandhar, S. and Pears, N., 2019, April. Focusnet: An attention-based fully convolutional network for medical image segmentation. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 455-458). IEEE.