Nl-augmenter: A framework for task-sensitive natural language augmentation

…, A Mir, NS Moosavi, N Muennighoff, TSH Mun… - arXiv preprint arXiv …, 2021 - arxiv.org
Data augmentation is an important component in the robustness evaluation of models in
natural language processing (NLP) and in enhancing the diversity of the data they are trained …

Multi modal fusion for radiogenomics classification of brain tumor

TSH Mun, S Doran, P Huang, C Messiou… - International MICCAI …, 2021 - Springer
Glioblastomas are the most common and aggressive malignant primary tumor of the central
nervous system in adults. The tumours are quite heterogeneous in its shape, texture, and …

[PDF][PDF] OsiriXgrpc: Rapid development and deployment of state-of-the-art artificial intelligence for clinical practice.

TSH Mun, R Holbrey, S Chua, P Huang, C Messiou… - 2022 - ai-2-ase.github.io
We describe and evaluate our open-source project, OsiriX-grpc, for rapid development and
prototyping of artificial intelligence (AI) tools in radiology. Our platform enables inter-process …

[BOOK][B] City voices: Hong Kong writing in English 1945 to the present

M Ingham, X Xi - 2003 - books.google.com
… of the present crop of Hong Kong English writers such as Han Suyin (A Many Spendored
Thing), Lin Tai-Yi (Kampoon Street) and others, as well as the already established Timothy Mo …

Radiomics using disentangled latent features from deep representation learning in soft-tissue sarcoma

TSH Mun, A Arthur, I Thrussell, J Winfield… - Medical Imaging with …, 2023 - openreview.net
Detecting the treatment response of radiotherapy for soft-tissue sarcomas (STS) is difficult
due to the intratumoral heterogeneity of the disease within tumours. Radiomics and deep …

Test-retest repeatability of data-driven radiomic features derived from a deep-learning model: Diffusion-weighted MRI of soft-tissue sarcoma

TSH Mun, I Thrussell, J Winfield, A Arthur, DJ Collins… - archive.ismrm.org
Monitoring treatment response of soft-tissue sarcomas (STS) following radiotherapy is
challenging due to the inherent intratumoral heterogeneity of the disease. Radiomics and deep-…

Mitochondrial diseases in Hong Kong: prevalence, clinical characteristics and genetic landscape

T Wong, KM Belaramani, C Chan, W Chan… - Orphanet Journal of …, 2023 - Springer
Objective To determine the prevalence of mitochondrial diseases (MD) in Hong Kong (HK)
and to evaluate the clinical characteristics and genetic landscape of MD patients in the region…

[BOOK][B] My Memoirs-in God We Do Best

K Hin, D Ho - 2021 - books.google.com
… She gave that entire sum to her father and was given only S$ 10 a month for her own … Mr
Liew Mun Leong (Group CEO and President of Pidemco Land Ltd and of CapitaLand Ltd). My …

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

H Bran, F Navarro, I Ezhov, A Bayat, D Das… - arXiv preprint arXiv …, 2024 - arxiv.org
Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising
from differences in interpretations and annotations by various experts, presents a significant …

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

S Cahyawijaya, H Lovenia, AF Aji, GI Winata… - arXiv preprint arXiv …, 2022 - arxiv.org
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources. …