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20162026
most citedUnsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training

228 citations · 560 across the 25 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.IV2020★ 1 cited

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

Ming Y. Lu, Dehan Kong, Jana Lipkova +5

Deep Learning-based computational pathology algorithms have demonstrated profound ability to excel in a wide array of tasks that range from characterization of well known morpholog…

cs.CV2020

VR-Caps: A Virtual Environment for Capsule Endoscopy

Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid +8

Current capsule endoscopes and next-generation robotic capsules for diagnosis and treatment of gastrointestinal diseases are complex cyber-physical platforms that must orchestrate…

cs.AI2020

COVID-19 in differential diagnosis of online symptom assessments

Anitha Kannan, Richard Chen, Vignesh Venkataraman +2

The COVID-19 pandemic has magnified an already existing trend of people looking for healthcare solutions online. One class of solutions are symptom checkers, which have become very…

eess.IV2020★ 3 cited

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen +3

The rapidly emerging field of computational pathology has the potential to enable objective diagnosis, therapeutic response prediction and identification of new morphological featu…

cs.CV2020

EndoL2H: Deep Super-Resolution for Capsule Endoscopy

Yasin Almalioglu, Kutsev Bengisu Ozyoruk, Abdulkadir Gokce +8

Although wireless capsule endoscopy is the preferred modality for diagnosis and assessment of small bowel diseases, the poor camera resolution is a substantial limitation for both…