Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation.

Stefani, A., Rahmat, R. & Harris-Birtill, D. C. C., 8 Jul 2020, In Annual Conference on Medical Image Understanding and Analysis: Part of the Communications in Computer and Information Science book series (CCIS). Springer, Vol. 1248. p. 43-55 13 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Paying per-label attention for multi-label extraction from radiology reports

Schrempf, P., Watson, H., Mikhael, S., Pajak, M., Falis, M., Lisowska, A., Muir, K. W., Harris-Birtill, D. & O'Neil, A. Q., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings. Cardoso, J., Van Nguyen, H., Heller, N., Henriques Abreu, P., Isgum, I., Silva, W., Cruz, R., Pereira Amorim, J., Patel, V., Roysam, B., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Mateus, D., Trucco, E. & Abbasi, S. (eds.). Cham: Springer, p. 277-289 13 p. (Lecture Notes in Computer Science (including subseries Image Processing, Computer Vision, Pattern Recognition, and Graphics); vol. 12446 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Understanding computation time: a critical discussion of time as a computational performance metric

Harris-Birtill, D. & Harris-Birtill, R., 3 Aug 2020, (Accepted/In press) Time in variance: the study of time. Parker, J., Harris, P. & Misztal, A. (eds.). Brill, Vol. 17. (The Study of Time).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review