Zobrazeno 1 - 10
of 1 745
pro vyhledávání: '"A, Pappachan"'
Autor:
Cassidy, Bill, Mcbride, Christian, Kendrick, Connah, Reeves, Neil D., Pappachan, Joseph M., Fernandez, Cornelius J., Chacko, Elias, Brüngel, Raphael, Friedrich, Christoph M., Alotaibi, Metib, AlWabel, Abdullah Abdulaziz, Alderwish, Mohammad, Lai, Kuan-Ying, Yap, Moi Hoon
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasingly common globally. These conditions can result in highly debilitati
Externí odkaz:
http://arxiv.org/abs/2410.03359
Geo-obfuscation functions as a location privacy protection mechanism (LPPM), enabling mobile users to share obfuscated locations with servers instead of their exact locations. This technique protects users' location privacy during server-side data br
Externí odkaz:
http://arxiv.org/abs/2407.13725
Privacy policies of websites are often lengthy and intricate. Privacy assistants assist in simplifying policies and making them more accessible and user friendly. The emergence of generative AI (genAI) offers new opportunities to build privacy assist
Externí odkaz:
http://arxiv.org/abs/2309.05138
As the adoption of smart devices continues to permeate all aspects of our lives, user privacy concerns have become more pertinent than ever. Privacy policies outline the data handling practices of these devices. Prior work in the domains of websites
Externí odkaz:
http://arxiv.org/abs/2308.05890
The release of differentially private streaming data has been extensively studied, yet striking a good balance between privacy and utility on temporally correlated data in the stream remains an open problem. Existing works focus on enhancing privacy
Externí odkaz:
http://arxiv.org/abs/2306.13293
Autor:
Dipto, Imran Chowdhury, Cassidy, Bill, Kendrick, Connah, Reeves, Neil D., Pappachan, Joseph M., Chandrabalan, Vishnu, Yap, Moi Hoon
This research conducts an investigation on the effect of visually similar images within a publicly available diabetic foot ulcer dataset when training deep learning classification networks. The presence of binary-identical duplicate images in dataset
Externí odkaz:
http://arxiv.org/abs/2304.12987
Autor:
Kendrick, Connah, Cassidy, Bill, Reeves, Neil D., Pappachan, Joseph M., O'Shea, Claire, Chandrabalan, Vishnu, Yap, Moi Hoon
The Diabetic Foot Ulcer Challenge 2022 focused on the task of diabetic foot ulcer segmentation, based on the work completed in previous DFU challenges. The challenge provided 4000 images of full-view foot ulcer images together with corresponding deli
Externí odkaz:
http://arxiv.org/abs/2304.12001
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Metabolic dysfunction-associated steatotic liver disease (MASLD) is an important public health problem owing to its high prevalence and associated morbidity and mortality secondary to progressive liver disease and cardiovascular events. Resm
Externí odkaz:
https://doaj.org/article/79af41145a0c4b4ab8eadd01b2c1ab06
Autor:
Mohammad Sadiq Jeeyavudeen, Navin Mathiyalagan, Cornelius Fernandez James, Joseph M. Pappachan
Publikováno v:
Exploration of Targeted Anti-tumor Therapy, Vol 5, Iss 2, Pp 349-373 (2024)
Pheochromocytomas and paragangliomas (PPGLs) have emerged as one of the most common endocrine tumors. It epitomizes fascinating crossroads of genetic, metabolic, and endocrine oncology, providing a canvas to explore the molecular intricacies of tumor
Externí odkaz:
https://doaj.org/article/07582557096c450bbfbb5f40fb4fc44c
Simply restricting the computation to non-sensitive part of the data may lead to inferences on sensitive data through data dependencies. Inference control from data dependencies has been studied in the prior work. However, existing solutions either d
Externí odkaz:
http://arxiv.org/abs/2207.08757