Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Md Sirajus Salekin"'
Autor:
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho, Yu Sun, Dmitry Goldgof
Publikováno v:
IEEE Access, Vol 12, Pp 49122-49133 (2024)
There is a tendency for object detection systems using off-the-shelf algorithms to fail when deployed in complex scenes. The present work describes a case for detecting facial expression in post-surgical neonates (newborns) as a modality for predicti
Externí odkaz:
https://doaj.org/article/7d7dc1d056e445a6a37dff0c8c7005e1
Autor:
Md Sirajus Salekin, Peter R. Mouton, Ghada Zamzmi, Raj Patel, Dmitry Goldgof, Marcia Kneusel, Sammie L. Elkins, Eileen Murray, Mary E. Coughlin, Denise Maguire, Thao Ho, Yu Sun
Publikováno v:
Paediatric & Neonatal Pain, Vol 3, Iss 3, Pp 134-145 (2021)
Abstract The advent of increasingly sophisticated medical technology, surgical interventions, and supportive healthcare measures is raising survival probabilities for babies born premature and/or with life‐threatening health conditions. In the Unit
Externí odkaz:
https://doaj.org/article/e1bf6a462124447d8f54e5fa84268e58
Autor:
Md Sirajus Salekin, Ghada Zamzmi, Jacqueline Hausmann, Dmitry Goldgof, Rangachar Kasturi, Marcia Kneusel, Terri Ashmeade, Thao Ho, Yu Sun
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106796- (2021)
This paper presents the first multimodal neonatal pain dataset that contains visual, vocal, and physiological responses following clinically required procedural and postoperative painful procedures. It was collected from 58 neonates (27-41 gestationa
Externí odkaz:
https://doaj.org/article/66f090985ce64a818700a36f96a2ee31
Publikováno v:
IEEE Access, Vol 5, Pp 8880-8889 (2017)
In this paper, we propose a novel feature representation method by a new feature descriptor, named patterns of oriented motion flow (POMF) from the optical flow information, to recognize the proper facial expression from the facial video. The POMF co
Externí odkaz:
https://doaj.org/article/904d2260a49a456088e78d35df82a7e7
Autor:
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, Yu Sun
Publikováno v:
Med Image Comput Comput Assist Interv
Lecture Notes in Computer Science ISBN: 9783031164361
Lecture Notes in Computer Science ISBN: 9783031164361
Artificial Intelligence (AI)-based methods allow for automatic assessment of pain intensity based on continuous monitoring and processing of subtle changes in sensory signals, including facial expression, body movements, and crying frequency. Current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9531b37b6a1182fb9e4e8b2ecd6f7e33
https://europepmc.org/articles/PMC10018439/
https://europepmc.org/articles/PMC10018439/
Autor:
Ghada Zamzmi, Thao Ho, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Md. Sirajus Salekin
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 1:192-200
The current standard for assessing neonatal pain is discontinuous and inconsistent because it depends highly on the observers bias. These drawbacks can result in delayed intervention and inconsistent treatment of pain. Convolutional neural networks (
Autor:
M. Emre Celebi, Md Sirajus Salekin, Hyunwoo Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC,
Publikováno v:
DICTA
Due to the availability of different image processing tools, now-a-days Copy-move forgery is emerging immensely. Addressing this problem is being more deterrent because of different types of image post processing techniques. In this paper, we propose