30 citations · 34 across the 4 of their papers we have counts for
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cs.CV2025★ 1 cited
Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings
Zachary Huemann, Samuel Church, Joshua D. Warner +7
Vision-language models can connect the text description of an object to its specific location in an image through visual grounding. This has potential applications in enhanced radi…
cs.CV2024★ 1 cited
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network
Xin Tie, Muheon Shin, Changhee Lee +10
: Automatic quantification of longitudinal changes in PET scans for lymphoma patients has proven challenging, as residual disease in interim-therapy scans is ofte…
cs.CV2023★ 2 cited
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax
Zachary Huemann, Xin Tie, Junjie Hu +1
Radiology narrative reports often describe characteristics of a patient's disease, including its location, size, and shape. Motivated by the recent success of multimodal learning,…