Shalini K. Vinod

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 4

Top Topics

Survival Prediction

Deformable Registration

Radiation Therapy

Treatment Planning

Top Venues

Artif. Intell. Medicine

Health Inf. Sci. Syst.

Comput. Medical Imaging Graph.

Publications

Phillip Chlap, Hang Min, Jason Dowling, Matthew Field, Kirrily Cloak, Trevor Leong, Mark Lee, Julie Chu, Jennifer Tan, Phillip Tran, Tomas Kron, Mark Sidhom, Kirsty Wiltshire, Sarah Keats, Andrew Kneebone, Annette Haworth, Martin A. Ebert, Shalini K. Vinod, Lois Holloway
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Comput. Medical Imaging Graph. 116 (2024)
Shuchao Pang, Matthew Field, Jason Dowling, Shalini K. Vinod, Lois Holloway, Arcot Sowmya
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. Artif. Intell. Medicine 123 (2022)
Mohamed S. Barakat, Matthew Field, Aditya Ghose, David Stirling, Lois Holloway, Shalini K. Vinod, Andre Dekker, David Thwaites
The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. Health Inf. Sci. Syst. 5 (1) (2017)
Soumya Ghose, Lois Holloway, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod, Gary Liney, Peter B. Greer, Jason Dowling
A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning. Artif. Intell. Medicine 64 (2) (2015)
Soumya Ghose, Lois Holloway, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod, Gary Liney, Peter B. Greer, Jason Dowling
A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. Abdominal Imaging (2013)