Taylor Bobrow

40 posts

Taylor Bobrow

Taylor Bobrow

@tbobrow1

Postdoctoral Researcher, Johns Hopkins School of Medicine, Baltimore, MD | 🦁 ODU 17’ 🦁

Baltimore, MD Katılım Ocak 2021
66 Takip Edilen34 Takipçiler
Taylor Bobrow
Taylor Bobrow@tbobrow1·
In collaboration with @SNgamruengphong from @HopkinsGIHep, we imaged 31 colorectal polyps during colonoscopy procedures. Compared with conventional imaging, MLE demonstrated a 3× improvement in lesion contrast and a 5× increase in color contrast. (7/8)⬇️
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Taylor Bobrow
Taylor Bobrow@tbobrow1·
Excited to share our work on Multi-contrast Laser Endoscopy (MLE), published in npj Imaging. Challenge: Evaluating new contrast methods through size-constrained endoscopes without disrupting clinical workflow. Our solution: don’t replace the colonoscope — retrofit it. (1/8)⬇️
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Taylor Bobrow
Taylor Bobrow@tbobrow1·
@mode7studio @HopkinsEngineer @njdurr @mode7studio VR-Caps is a great rendered dataset. What makes C3VD new is that it uses real videos with paired ground truth. There are pros and cons for both rendered and C3VD data, so researchers should validate using both types. See our paper for a list of public datasets.
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ODU Athletics
ODU Athletics@ODUSports·
Do you have a Monarch crawler you’d like to participate in our Virginia529 Diaper Derby? The Diaper Derby provides a chance to cheer your baby to the finish line on court, during the January 6th Basketball game, with a chance to win big! #ODUSports | #ReignOn | #Monarchs
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The ODU Monarchists 🎙️
The ODU Monarchists 🎙️@ODUmonarchists·
Really great effort by @ODU_MBB in a tough place to play against a very talented team. Keep building on that and we can have an amazing season ahead of us.
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Taylor Bobrow
Taylor Bobrow@tbobrow1·
C3VD also includes four simulated screening colonoscopies performed by Dr. Venkata Akshintala of @HopkinsGIHep. These Videos come with 3D ground truth models and coarse ground truth camera poses. (6/7)⬇️
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Taylor Bobrow
Taylor Bobrow@tbobrow1·
Colonoscopy is an important application of computer vision. Testing new algorithms has been challenging w/o any datasets having real endoscope frames & ground truth depth. So we created C3VD - a colonoscopy 3D video dataset out in @ElsevierConnect Medical Image Analysis. (1/7)⬇️
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