<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning | Kunpeng Xie</title><link>https://cv.kxlab.org/tag/deep-learning/</link><atom:link href="https://cv.kxlab.org/tag/deep-learning/index.xml" rel="self" type="application/rss+xml"/><description>Deep Learning</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://cv.kxlab.org/media/icon_hu40628256a998878a9bc8d80be7495b55_4564954_512x512_fill_lanczos_center_3.png</url><title>Deep Learning</title><link>https://cv.kxlab.org/tag/deep-learning/</link></image><item><title>Beyond Benchmarks: Towards Robust Artificial Intelligence Bone Segmentation in Socio-Technical Systems</title><link>https://cv.kxlab.org/publication/2026-beyond-benchmarks/</link><pubDate>Sun, 01 Mar 2026 00:00:00 +0000</pubDate><guid>https://cv.kxlab.org/publication/2026-beyond-benchmarks/</guid><description/></item><item><title>Deep Learning-Assisted Skeletal Muscle Radiation Attenuation at C3 Predicts Survival in Head and Neck Cancer</title><link>https://cv.kxlab.org/publication/2025-skeletal-muscle-c3/</link><pubDate>Fri, 10 Oct 2025 00:00:00 +0000</pubDate><guid>https://cv.kxlab.org/publication/2025-skeletal-muscle-c3/</guid><description/></item><item><title>Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images</title><link>https://cv.kxlab.org/publication/2024-cyto-rcnn/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://cv.kxlab.org/publication/2024-cyto-rcnn/</guid><description/></item><item><title>Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists</title><link>https://cv.kxlab.org/publication/2024-ai-vs-dentists/</link><pubDate>Tue, 18 Jun 2024 00:00:00 +0000</pubDate><guid>https://cv.kxlab.org/publication/2024-ai-vs-dentists/</guid><description/></item></channel></rss>