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20212026
most citedGeneralist Foundation Models from a Multimodal Dataset for 3D Computed Tomography

44 citations · 114 across the 20 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 14 cited

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Kaiyuan Yang, Fabio Musio, Yihui Ma +112

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…

q-bio.QM2023

Synthesizing Missing MRI Sequences from Available Modalities using Generative Adversarial Networks in BraTS Dataset

Ibrahim Ethem Hamamci

Glioblastoma is a highly aggressive and lethal form of brain cancer. Magnetic resonance imaging (MRI) plays a significant role in the diagnosis, treatment planning, and follow-up o…

cs.CV2023★ 11 cited

DENTEX: Dental Enumeration and Tooth Pathosis Detection Benchmark for Panoramic X-ray

Ibrahim Ethem Hamamci, Sezgin Er, Omer Faruk Durugol +40

Panoramic X-rays are frequently used in dentistry for treatment planning, but their interpretation can be both time-consuming and prone to error. Artificial intelligence (AI) has t…

cs.CV2023★ 4 cited

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Ibrahim Ethem Hamamci, Sezgin Er, Anjany Sekuboyina +13

GenerateCT, the first approach to generating 3D medical imaging conditioned on free-form medical text prompts, incorporates a text encoder and three key components: a novel causal…

cs.CV2023★ 2 cited

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar +5

Due to the necessity for precise treatment planning, the use of panoramic X-rays to identify different dental diseases has tremendously increased. Although numerous ML models have…