[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 …

[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 …

[HTML][HTML] 2019 Scientific Session of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), Baltimore, Maryland, USA, 3–6 April 2019: 2019 …

IL Leeds, CD Jones, R Elliott, MD Haut, JV Sakran… - Surg Endosc, 2019 - Springer
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…

Evaluating Frontier Models for Dangerous Capabilities

M Phuong, M Aitchison, E Catt, S Cogan… - arXiv preprint arXiv …, 2024 - arxiv.org
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" …

Autosdf: Shape priors for 3d completion, reconstruction and generation

P Mittal, YC Cheng, M Singh… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

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 …

DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets

H Rangwani, P Mondal, M Mishra, AR Asokan… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

[HTML][HTML] Development of anticancer peptides using artificial intelligence and combinational therapy for cancer therapeutics

JS Hwang, SG Kim, TH Shin, YE Jang, DH Kwon… - Pharmaceutics, 2022 - mdpi.com
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 …

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. …

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, …