A generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humans

Z Yu, X Han, W Xu, J Zhang, C Marr, D Shen, T Peng… - Elife, 2022 - elifesciences.org
Accurate brain tissue extraction on magnetic resonance imaging (MRI) data is crucial for
analyzing brain structure and function. While several conventional tools have been …

[HTML][HTML] Proximal femur fracture detection on plain radiography via feature pyramid networks

İ Yıldız Potter, D Yeritsyan, S Mahar, N Kheir… - Scientific Reports, 2024 - nature.com
Hip fractures exceed 250,000 cases annually in the United States, with the worldwide
incidence projected to increase by 240–310% by 2050. Hip fractures are predominantly …

[HTML][HTML] A high-precision jujube disease spot detection based on SSD during the sorting process

ZB Yin, FY Liu, H Geng, YJ Xi, DB Zeng, CJ Si, MD Shi - Plos one, 2024 - journals.plos.org
The development of automated grading equipment requires achieving high throughput and
precise detection of disease spots on jujubes. However, the current algorithms are …

Heatmap regression for lesion detection using pointwise annotations

C Myers-Colet, J Schroeter, DL Arnold… - Workshop on Medical …, 2022 - Springer
In many clinical contexts, detecting all lesions is imperative for evaluating disease activity.
Standard approaches pose lesion detection as a segmentation problem despite the time …

Segmentation-consistent probabilistic lesion counting

J Schroeter, C Myers-Colet… - … on Medical Imaging …, 2022 - proceedings.mlr.press
Lesion counts are important indicators of disease severity, patient prognosis, and treatment
efficacy, yet counting as a task in medical imaging is often overlooked in favor of …

An Automated Vertebrae Localization, Segmentation, and Osteoporotic Compression Fracture Detection Pipeline for Computed Tomographic Imaging

İ Yıldız Potter, EK Rodriguez, J Wu, A Nazarian… - Journal of Imaging …, 2024 - Springer
Osteoporosis is the most common chronic metabolic bone disease worldwide. Vertebral
compression fracture (VCF) is the most common type of osteoporotic fracture. Approximately …

[图书][B] Towards Probabilistic and Interpretable Lesion Counting and Detection

C Myers-Colet - 2022 - search.proquest.com
Medical image segmentation is a highly developed field of study with many applications.
However, in cases where obtaining a detailed border is secondary, such as detecting or …

Heatmap Regression for Lesion Detection Using Pointwise Annotations

T Arbel - Medical Image Learning with Limited and Noisy Data …, 2022 - books.google.com
In many clinical contexts, detecting all lesions is imperative for evaluating disease activity.
Standard approaches pose lesion detection as a segmentation problem despite the time …