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- Conference Paper
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Boosting 3D liver shape datasets with diffusion models and implicit neural representations
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Towards improved cervical cancer screening : vision transformer-based classification and interpretability
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- Miscellaneous
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Toward using machine learning as a shape quality metric for liver point cloud generation
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Identifying critical tokens for accurate predictions in transformer-based medical imaging models
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- Conference Paper
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Grasshopper optimization algorithm (GOA) : a novel algorithm or a variant of PSO?
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Assessment of intraoperative scoring systems for predicting cytoreduction outcome in peritoneal metastatic disease : a systematic review and meta-analysis
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- Journal Article
- A1
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Assessing the reliability of point mutation as data augmentation for deep learning with genomic data
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- Journal Article
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The influence of pH on the efficacy of oxidation-reduction potential (ORP) to predict chlorine disinfection of surrogate bacteria, Escherichia coli O157:H7 and Listeria monocytogenes in oxidant demand free conditions and fresh produce wash water
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Towards abdominal 3-D scene rendering from laparoscopy surgical videos using NeRFs
(2024) MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I. In Lecture notes in computer science 14348. p.83-93 -
Know your self-supervised learning : a survey on image-based generative and discriminative training