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 …
natural language processing (NLP) and in enhancing the diversity of the data they are trained …
Multi modal fusion for radiogenomics classification of brain tumor
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 …
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 …
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 …
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 …
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-…
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…
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 …
Liew Mun Leong (Group CEO and President of Pidemco Land Ltd and of CapitaLand Ltd). My …
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising
from differences in interpretations and annotations by various experts, presents a significant …
from differences in interpretations and annotations by various experts, presents a significant …
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources. …
Indonesian languages, including opening access to previously non-public resources. …