[HTML][HTML] The fate of laparoscopic adjustable gastric band removal
…, C Sheppard, A Kanji, D Birch, S Karmali… - Canadian Journal of …, 2019 - ncbi.nlm.nih.gov
Background Long-term complications and lack of weight loss have caused a surge in
laparoscopic adjustable gastric band (LAGB) removal. This study reviews the trend of LAGB …
laparoscopic adjustable gastric band (LAGB) removal. This study reviews the trend of LAGB …
[HTML][HTML] A comparison of revisional and primary bariatric surgery
C Fulton, C Sheppard, D Birch, S Karmali… - Canadian Journal of …, 2017 - ncbi.nlm.nih.gov
Background Revisional surgery is an important component of addressing weight regain and
complications following primary bariatric surgery. Owing to provincial need and the …
complications following primary bariatric surgery. Owing to provincial need and the …
[HTML][HTML] 2019 Scientific Session of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), Baltimore, Maryland, USA, 3–6 April 2019: 2019 …
Methods: The national NSQIP databases from 2011 to 2016 were queried for emergent
surgeries for abdominal hernia resulting in obstruction or gangrene by primary post-op diagnosis…
surgeries for abdominal hernia resulting in obstruction or gangrene by primary post-op diagnosis…
Evaluating Frontier Models for Dangerous Capabilities
To understand the risks posed by a new AI system, we must understand what it can and
cannot do. Building on prior work, we introduce a programme of new "dangerous capability" …
cannot do. Building on prior work, we introduce a programme of new "dangerous capability" …
Autosdf: Shape priors for 3d completion, reconstruction and generation
Powerful priors allow us to perform inference with insufficient information. In this paper, we
propose an autoregressive prior for 3D shapes to solve multimodal 3D tasks such as shape …
propose an autoregressive prior for 3D shapes to solve multimodal 3D tasks such as shape …
Label Augmentation As Inter-Class Data Augmentation for Conditional Image Synthesis With Imbalanced Data
K Katsumata, DM Vo… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Conditional image synthesis performs admirably when trained on well-constructed and
balanced datasets. However, in practice, training datasets frequently contain minorities (ie, a …
balanced datasets. However, in practice, training datasets frequently contain minorities (ie, a …
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
Vision Transformer (ViT) has emerged as a prominent architecture for various computer
vision tasks. In ViT, we divide the input image into patch tokens and process them through a …
vision tasks. In ViT, we divide the input image into patch tokens and process them through a …
[HTML][HTML] Development of anticancer peptides using artificial intelligence and combinational therapy for cancer therapeutics
Cancer is a group of diseases causing abnormal cell growth, altering the genome, and
invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer …
invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer …
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
F Pourpanah, A Etemad - arXiv preprint arXiv:2306.12660, 2023 - arxiv.org
Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring. …
the rise of digital health technologies and the growing demand for remote health monitoring. …
Effective Latent Differential Equation Models via Attention and Multiple Shooting
G Abrevaya, M Ramezanian-Panahi… - The Symbiosis of …, 2023 - openreview.net
The GOKU-net is a continuous-time generative model that allows leveraging prior knowledge
in the form of differential equations. We present GOKU-UI, an evolution of the GOKU-nets, …
in the form of differential equations. We present GOKU-UI, an evolution of the GOKU-nets, …