Number of items: 11.
2023
Jegorova, M., Kaul, C., Mayor, C., O'Neil, A. Q., Weir, A., Murray-Smith, R. and Tsaftaris, S. A.
(2023)
Survey: Leakage and privacy at inference time.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(7),
pp. 9090-9108.
(doi: 10.1109/tpami.2022.3229593)
(PMID:37015684)
Liu, Q., Kaul, C., Wang, J., Anagnostopoulos, C. , Murray-Smith, R. and Deligianni, F.
(2023)
Optimizing Vision Transformers for Medical Image Segmentation.
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10 June 2023,
ISBN 9781728163277
(doi: 10.1109/ICASSP49357.2023.10096379)
Mitchell, K., Kassem, K., Kaul, C., Kapitany, V., Binner, P., Ramsay, A. , Faccio, D. and Murray-Smith, R.
(2023)
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor.
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10 June 2023,
ISBN 9781728163277
(doi: 10.1109/ICASSP49357.2023.10095884)
Xu, S., Kaul, C., Ge, X. and Murray-Smith, R.
(2023)
Continuous Interaction With a Smart Speaker via Low-Dimensional Embeddings of Dynamic Hand Pose.
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10 June 2023,
ISBN 9781728163277
(doi: 10.1109/ICASSP49357.2023.10096097)
Kaul, C., Mitton, J., Dai, H. and Murray-Smith, R.
(2023)
Convolutional Point Transformer.
In: 16th Asian Conference on Computer Vision (ACCV2022), Macau SAR, China, 4-8 December 2022,
pp. 308-324.
ISBN 9783031270659
(doi: 10.1007/978-3-031-27066-6_22)
Tragakis, A., Kaul, C., Murray-Smith, R. and Husmeier, D.
(2023)
The Fully Convolutional Transformer for Medical Image Segmentation.
In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2023), Waikoloa, HI, USA, 03-07 Jan 2023,
pp. 1022-1031.
ISBN 9781665493468
(doi: 10.1109/WACV56688.2023.00365)
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,
102087.
(doi: 10.1016/j.artmed.2021.102087)
Kaul, C., Pears, N., Dai, H., Murray-Smith, R. and Manandhar, S.
(2021)
Focusnet++: attentive aggregated transformations for efficient and accurate medical image segmentation.
In: IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021,
pp. 1042-1046.
ISBN 9781665412469
(doi: 10.1109/ISBI48211.2021.9433918)
Kaul, C., Pears, N., Dai, H., Murray-Smith, R. and Manandhar, S.
(2021)
Penalizing small errors using an Adaptive Logarithmic Loss.
In: Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. and Vezzani, R. (eds.)
Pattern Recognition. ICPR International Workshops and Challenges.
Series: Lecture Notes in Computer Science, 12661.
Springer: Cham, pp. 368-375.
ISBN 9783030687632
(doi: 10.1007/978-3-030-68763-2_28)
Kaul, C., Pears, N. and Manandhar, S.
(2021)
FatNet: feature-attentive network for 3D point cloud processing.
In: 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 January 2021,
pp. 7211-7218.
ISBN 9781728188089
(doi: 10.1109/ICPR48806.2021.9412731)
2019
Kaul, C., Manandhar, S. and Pears, N.
(2019)
Focusnet: an attention-based fully convolutional network for medical image segmentation.
In: IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, 8-11 April 2019,
pp. 455-458.
ISBN 9781538636411
(doi: 10.1109/ISBI.2019.8759477)
This list was generated on Fri Dec 1 05:45:09 2023 GMT.