Computational Imaging & VisAnalysis

#360: Y. Y. Wang, A. S.Hamad, K. Palaniappan, T. E.Lever, and F. Bunyak

LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos

Computers in Biology and Medicine, pgs. 105339, 2022

deep learning, vocal folds, laryngeal endoscopy, laryngeal closure detection, laryngeal adductor reflex

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar

@article{wang2022larnet,
  author = "Y. Y. Wang and A. S.Hamad and K. Palaniappan and T. E.Lever and F. Bunyak",
  title = "LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos",
  year = 2022,
  journal = "Computers in Biology and Medicine",
  publisher = "Elsevier",
  pages = "105339",
  month = "Feb",
  keywords = "deep learning, vocal folds, laryngeal endoscopy, laryngeal closure detection, laryngeal adductor reflex",
  doi = "https://doi.org/10.1016/j.compbiomed.2022.105339",
  url = "https://www.sciencedirect.com/science/article/abs/pii/S0010482522001317#!"
}

Y. Y. Wang, A. S.Hamad, K. Palaniappan, T. E.Lever, and F. Bunyak. LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos. Computers in Biology and Medicine, Elsevier, pages 105339, February 2022.

#354: I. Gubins, M. L. Chaillet, G. van der Schot, M. C. Trueba, R. C. Veltkamp, F. Förster, X. Wang, D. Kihara, E. Moebel, N. P. Nguyen, T. White, F. Bunyak, G. Papoulias, S. Gerolymatos, E. I. Zacharaki, K. Moustakas, X. Zeng, S. Liu, M. Xu, Y. Wang, C. Chen, X. Cui, and F. Zhang

SHREC 2021: classification in cryo-electron tomograms

Eurographics Workshop on 3D Object Retrieval, The Eurographics Association, 2021

Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Shrec:Eurographics2021,
  author = "I. Gubins and M. L. Chaillet and G. van der Schot and M. C. Trueba and R. C. Veltkamp and F. Förster and X. Wang and D. Kihara and E. Moebel and N. P. Nguyen and T. White and F. Bunyak and G. Papoulias and S. Gerolymatos and E. I. Zacharaki and K. Moustakas and X. Zeng and S. Liu and M. Xu and Y. Wang and C. Chen and X. Cui and F. Zhang",
  title = "SHREC 2021: classification in cryo-electron tomograms",
  year = 2021,
  booktitle = "Eurographics Workshop on 3D Object Retrieval",
  publisher = "The Eurographics Association",
  doi = "10.2312/3dor.20211307"
}

#347: Y. Y. Wang, O. V. Glinskii, F. Bunyak, and K. Palaniappan

Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images

5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021

vessel segmentation, confocal microscopy images, deep learning, semantic segmentation

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{2021a,
  author = "Y. Y. Wang and O. V. Glinskii and F. Bunyak and K. Palaniappan",
  title = "Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images",
  year = 2021,
  booktitle = "5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP",
  keywords = "vessel segmentation, confocal microscopy images, deep learning, semantic segmentation"
}

Y. Y. Wang, O. V. Glinskii, F. Bunyak, and K. Palaniappan. Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images. 5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021.

#346: Y. Y. Wang, K. Gao, A. Hamad, B. McCarthy, A. M. Kloepper, T. E. Lever, and F. Bunyak

Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning

5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021

oral diadochokinesis, syllable detection, mouth/jaw motion, deep learning

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{2021a,
  author = "Y. Y. Wang and K. Gao and A. Hamad and B. McCarthy and A. M. Kloepper and T. E. Lever and F. Bunyak",
  title = "Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning",
  year = 2021,
  booktitle = "5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP",
  keywords = "oral diadochokinesis, syllable detection, mouth/jaw motion, deep learning"
}

Y. Y. Wang, K. Gao, A. Hamad, B. McCarthy, A. M. Kloepper, T. E. Lever, and F. Bunyak. Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning. 5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021.

#330: Y. Y. Wang, A. S. Hamad, T. E. Lever, and F. Bunyak

Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pgs. 2167-2172, 2020

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar

@inproceedings{wang2020orthogonal,
  author = "Y. Y. Wang and A. S. Hamad and T. E. Lever and F. Bunyak",
  title = "Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos",
  year = 2020,
  booktitle = "2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)",
  pages = "2167-2172",
  month = "Jul",
  doi = "10.1109/EMBC44109.2020.9176149",
  url = "https://ieeexplore.ieee.org/abstract/document/9176149"
}

Y. Y. Wang, A. S. Hamad, T. E. Lever, and F. Bunyak. Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 2167-2172, July 2020.

#317: A. S. Hamad, Y. Y. Wang, T. E. Lever, and F. Bunyak

Ensemble of deep cascades for detection of laryngeal adductor reflex events in Endoscopy Videos

IEEE International Conference on Image Processing (ICIP), pgs. 300-304, 2020

deep learning, laryngeal adductor reflex, automated detection, endoscopy video analysis

Abstract, Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Hamad:ICIP2020,
  author = "A. S. Hamad and Y. Y. Wang and T. E. Lever and F. Bunyak",
  title = "Ensemble of deep cascades for detection of laryngeal adductor reflex events in Endoscopy Videos",
  year = 2020,
  booktitle = "IEEE International Conference on Image Processing (ICIP)",
  pages = "300-304",
  keywords = "deep learning, laryngeal adductor reflex, automated detection, endoscopy video analysis",
  doi = "10.1109/ICIP40778.2020.9190792"
}

A. S. Hamad, Y. Y. Wang, T. E. Lever, and F. Bunyak. Ensemble of deep cascades for detection of laryngeal adductor reflex events in Endoscopy Videos. IEEE International Conference on Image Processing (ICIP), pages 300-304, 2020.

#310: S. Yao, Y. Wang, H. AliAkbarpour, G. Seetharaman, R. Rao, and K. Palaniappan

SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis

2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1--6, 2020

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{yao2020smvnet,
  author = "S. Yao and Y. Wang and H. AliAkbarpour and G. Seetharaman and R. Rao and K. Palaniappan",
  title = "SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis",
  year = 2020,
  booktitle = "2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1--6"
}

S. Yao, Y. Wang, H. AliAkbarpour, G. Seetharaman, R. Rao, and K. Palaniappan. SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis. 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1--6, 2020.

#297: Y. Y. Wang, K. Gao, A. M. Kloepper, Y. Zhao, M. Kuruvilla-Dugdale, T. E. Lever, and F. Bunyak

DeepDDK: A deep learning based oral-diadochokinesis analysis software

IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pgs. 1--4, 2019

diadochokinesis analysis, speech signal analysis, deep learning, event detection, event localization

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar

@inproceedings{wang2019deepddk,
  author = "Y. Y. Wang and K. Gao and A. M. Kloepper and Y. Zhao and M. Kuruvilla-Dugdale and T. E. Lever and F. Bunyak",
  title = "DeepDDK: A deep learning based oral-diadochokinesis analysis software",
  year = 2019,
  booktitle = "IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)",
  pages = "1--4",
  keywords = "diadochokinesis analysis, speech signal analysis, deep learning, event detection, event localization",
  doi = "10.1109/BHI.2019.8834506",
  url = "https://ieeexplore.ieee.org/abstract/document/8834506"
}

Y. Y. Wang, K. Gao, A. M. Kloepper, Y. Zhao, M. Kuruvilla-Dugdale, T. E. Lever, and F. Bunyak. DeepDDK: A deep learning based oral-diadochokinesis analysis software. IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pages 1--4, 2019.

#296: L. Wen, P. Zhu, D. Du, X. Bian, H. Ling, Q. Hu, J. Zheng, T. Peng, X. Wang, Y. Zhang, L. Bo, H. Shi, R. Zhu, A. Jadhav, B. Dong, B. Lall, C. Liu, C. Zhang, D. Wang, F. Ni, F. Bunyak, G. Wang, G. Liu, G. Seetharaman, G. Li, H. Ardo, H. Zhang, H. Yu, H. Lu, J.-N. Hwang, J. Mu, J. Hu, K. Palaniappan, L. Chen, L. Ding, M. Lauer, M. Nilsson, N. M. Al-Shakarji, P. Mukherjee, Q. Huang, R. Laganiere, S. Chen, S. Pan, V. Kaushik, W. Shi, W. Tian, W. Li, X. Chen, X. Zhang, Y. Zhang, Y. Zhao, Y. Wang, Y. Song, Y. Yao, Z. Chen, Z. Xu, Z. Xiao, and Z. Tong

VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pgs. 189-198, 2019

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Noor2019:Visdrone_report,
  author = "L. Wen and P. Zhu and D. Du and X. Bian and H. Ling and Q. Hu and J. Zheng and T. Peng and X. Wang and Y. Zhang and L. Bo and H. Shi and R. Zhu and A. Jadhav and B. Dong and B. Lall and C. Liu and C. Zhang and D. Wang and F. Ni and F. Bunyak and G. Wang and G. Liu and G. Seetharaman and G. Li and H. Ardo and H. Zhang and H. Yu and H. Lu and J.-N. Hwang and J. Mu and J. Hu and K. Palaniappan and L. Chen and L. Ding and M. Lauer and M. Nilsson and N. M. Al-Shakarji and P. Mukherjee and Q. Huang and R. Laganiere and S. Chen and S. Pan and V. Kaushik and W. Shi and W. Tian and W. Li and X. Chen and X. Zhang and Y. Zhang and Y. Zhao and Y. Wang and Y. Song and Y. Yao and Z. Chen and Z. Xu and Z. Xiao and Z. Tong",
  title = "VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results",
  year = 2019,
  booktitle = "Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)",
  pages = "189-198",
  keywords = "drone-based multiple object tracking, drone performance evaluation, multi-object tracking",
  doi = "10.1109/ICCVW.2019.00028",
  url = "https://openaccess.thecvf.com/content_ICCVW_2019/html/VISDrone/Wen_VisDrone-MOT2019_The_Vision_Meets_Drone_Multiple_Object_Tracking_Challenge_Results_ICCVW_2019_paper.html"
}

L. Wen, P. Zhu, D. Du, X. Bian, H. Ling, Q. Hu, J. Zheng, T. Peng, X. Wang, Y. Zhang, L. Bo, H. Shi, R. Zhu, A. Jadhav, B. Dong, B. Lall, C. Liu, C. Zhang, D. Wang, F. Ni, F. Bunyak, G. Wang, G. Liu, G. Seetharaman, G. Li, H. Ardo, H. Zhang, H. Yu, H. Lu, J.-N. Hwang, J. Mu, J. Hu, K. Palaniappan, L. Chen, L. Ding, M. Lauer, M. Nilsson, N. M. Al-Shakarji, P. Mukherjee, Q. Huang, R. Laganiere, S. Chen, S. Pan, V. Kaushik, W. Shi, W. Tian, W. Li, X. Chen, X. Zhang, Y. Zhang, Y. Zhao, Y. Wang, Y. Song, Y. Yao, Z. Chen, Z. Xu, Z. Xiao, and Z. Tong. VisDrone-MOT2019: The vision meets drone multiple object tracking challenge results. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pages 189-198, 2019.

#266: P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, H. Wu, Q. Nie, H. Cheng, C. Liu, X. Liu, W. Ma, L. Wang, A. Schumann, D. Wang, D. Ortego, E. Luna, E. Michail, E. Bochinski, F. Ni, F. Bunyak, G. Zhang, G. Seetharaman, G. Li, H. Yu, I. Kompatsiaris, J. Zhao, J. Gao, J. M. Martinez, J. C. S. Miguel, K. Palaniappan, K. Avgerinakis, L. Sommer, M. Lauer, M. Liu, N. M. Al-Shakarji, O. Acatay, P. Giannakeris, Q. Zhao, Q. Ma, Q. Huang, S. Vrochidis, T. Sikora, T. Senst, W. Song, W. Tian, W. Zhang, Y. Zhao, Y. Bai, Y. Wu, Y. Wang, Y. Li, Z. Pi, and Z. Ma

VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results

Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor2018:ECCVW_Visdrone_Report,
  author = "P. Zhu and L. Wen and D. Du and X. Bian and H. Ling and Q. Hu and H. Wu and Q. Nie and H. Cheng and C. Liu and X. Liu and W. Ma and L. Wang and A. Schumann and D. Wang and D. Ortego and E. Luna and E. Michail and E. Bochinski and F. Ni and F. Bunyak and G. Zhang and G. Seetharaman and G. Li and H. Yu and I. Kompatsiaris and J. Zhao and J. Gao and J. M. Martinez and J. C. S. Miguel and K. Palaniappan and K. Avgerinakis and L. Sommer and M. Lauer and M. Liu and N. M. Al-Shakarji and O. Acatay and P. Giannakeris and Q. Zhao and Q. Ma and Q. Huang and S. Vrochidis and T. Sikora and T. Senst and W. Song and W. Tian and W. Zhang and Y. Zhao and Y. Bai and Y. Wu and Y. Wang and Y. Li and Z. Pi and Z. Ma",
  title = "VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results",
  year = 2018,
  booktitle = "Proceedings of the European Conference on Computer Vision (ECCV) Workshops",
  keywords = "drone-based multiple object tracking, drone performance evaluation, multi-object tracking",
  url = "https://openaccess.thecvf.com/content_eccv_2018_workshops/w27/html/Zhu_VisDrone-VDT2018_The_Vision_Meets_Drone_Video_Detection_and_Tracking_Challenge_ECCVW_2018_paper.html"
}

P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, H. Wu, Q. Nie, H. Cheng, C. Liu, X. Liu, W. Ma, L. Wang, A. Schumann, D. Wang, D. Ortego, E. Luna, E. Michail, E. Bochinski, F. Ni, F. Bunyak, G. Zhang, G. Seetharaman, G. Li, H. Yu, I. Kompatsiaris, J. Zhao, J. Gao, J. M. Martinez, J. C. S. Miguel, K. Palaniappan, K. Avgerinakis, L. Sommer, M. Lauer, M. Liu, N. M. Al-Shakarji, O. Acatay, P. Giannakeris, Q. Zhao, Q. Ma, Q. Huang, S. Vrochidis, T. Sikora, T. Senst, W. Song, W. Tian, W. Zhang, Y. Zhao, Y. Bai, Y. Wu, Y. Wang, Y. Li, Z. Pi, and Z. Ma. VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results. Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018.

#218: M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Cehovin, T. Vojir, G. Häger, A. Lukezic, G. Fernandez, A. Gupta, A. Petrosino, A. Memarmoghadam, A. Garcia-Martin, A. S. Montero, A. Vedaldi, A. Robinson, A. J. Ma, A. Varfolomieiev, A. Alatan, A. Erdem, B. Ghanem, B. Liu, B. Han, B. Martinez, C.-M. Chang, C. Xu, C. Sun, D. Kim, D. Chen, D. Du, D. Mishra, D.-Y. Yeung, E. Gundogdu, E. Erdem, F. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Roffo, G. R. K. S. Subrahmanyam, G. Bastos, G. Seetharaman, H. Medeiros, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lu, H. Lee, H. Nam, H. J. Chang, I. Drummond, J. Valmadre, J.-c. Jeong, J.-i. Cho, J.-Y. Lee, J. Zhu, J. Feng, J. Gao, J. Y. Choi, J. Xiao, J.-W. Kim, J. Jeong, J. F. Henriques, J. Lang, J. Choi, J. M. Martinez, J. Xing, J. Gao, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Qin, L. Wang, L. Wen, L. Bertinetto, M. K. Rapuru, M. Poostchi, M. Maresca, M. Danelljan, M. Mueller, M. Zhang, M. Arens, M. Valstar, M. Tang, M. Baek, M. H. Khan, N. Wang, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. Moallem, P. Senna, P. H. S. Torr, P. C. Yuen, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, R. Stolkin, R. Walsh, S. B. Krah, S. Li, S. Zhang, S. Yao, S. Hadfield, S. Melzi, S. Lyu, S. Li, S. Becker, S. Golodetz, S. Kakanuru, S. Choi, T. Hu, T. Mauthner, T. Zhang, T. Pridmore, V. Santopietro, W. Hu, W. Li, W. Hübner, X. Lan, X. Wang, X. Li, Y. Li, Y. Demiris, Y. Wang, Y. Qi, Z. Yuan, Z. Cai, Z. Xu, Z. He, and Z. Chi

The visual object tracking VOT2016 challenge results

European Conference on Computer Vision Workshop (ECCVW), pgs. 777--823, 2016

performance, evaluation, short-term, single-object trackers, vot

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Noor:ECCV_VOT_report,
author = "M. Kristan and A. Leonardis and J. Matas and M. Felsberg and R. Pflugfelder and L. Cehovin and T. Vojir and G. Häger and A. Lukezic and G. Fernandez and A. Gupta and A. Petrosino and A. Memarmoghadam and A. Garcia-Martin and A. S. Montero and A. Vedaldi and A. Robinson and A. J. Ma and A. Varfolomieiev and A. Alatan and A. Erdem and B. Ghanem and B. Liu and B. Han and B. Martinez and C.-M. Chang and C. Xu and C. Sun and D. Kim and D. Chen and D. Du and D. Mishra and D.-Y. Yeung and E. Gundogdu and E. Erdem and F. Khan and F. Porikli and F. Zhao and F. Bunyak and F. Battistone and G. Zhu and G. Roffo and G. R. K. S. Subrahmanyam and G. Bastos and G. Seetharaman and H. Medeiros and H. Li and H. Qi and H. Bischof and H. Possegger and H. Lu and H. Lee and H. Nam and H. J. Chang and I. Drummond and J. Valmadre and J.-c. Jeong and J.-i. Cho and J.-Y. Lee and J. Zhu and J. Feng and J. Gao and J. Y. Choi and J. Xiao and J.-W. Kim and J. Jeong and J. F. Henriques and J. Lang and J. Choi and J. M. Martinez and J. Xing and J. Gao and K. Palaniappan and K. Lebeda and K. Gao and K. Mikolajczyk and L. Qin and L. Wang and L. Wen and L. Bertinetto and M. K. Rapuru and M. Poostchi and M. Maresca and M. Danelljan and M. Mueller and M. Zhang and M. Arens and M. Valstar and M. Tang and M. Baek and M. H. Khan and N. Wang and N. Fan and N. Al-Shakarji and O. Miksik and O. Akin and P. Moallem and P. Senna and P. H. S. Torr and P. C. Yuen and Q. Huang and R. Martin-Nieto and R. Pelapur and R. Bowden and R. Laganière and R. Stolkin and R. Walsh and S. B. Krah and S. Li and S. Zhang and S. Yao and S. Hadfield and S. Melzi and S. Lyu and S. Li and S. Becker and S. Golodetz and S. Kakanuru and S. Choi and T. Hu and T. Mauthner and T. Zhang and T. Pridmore and V. Santopietro and W. Hu and W. Li and W. Hübner and X. Lan and X. Wang and X. Li and Y. Li and Y. Demiris and Y. Wang and Y. Qi and Z. Yuan and Z. Cai and Z. Xu and Z. He and Z. Chi",
title = "The visual object tracking VOT2016 challenge results",
year = 2016,
booktitle = "European Conference on Computer Vision Workshop (ECCVW)",
pages = "777--823",
keywords = "performance, evaluation, short-term, single-object trackers, vot",
url = "https://link.springer.com/chapter/10.1007/978-3-319-48881-3_54"
}

M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Cehovin, T. Vojir, G. Häger, A. Lukezic, G. Fernandez, A. Gupta, A. Petrosino, A. Memarmoghadam, A. Garcia-Martin, A. S. Montero, A. Vedaldi, A. Robinson, A. J. Ma, A. Varfolomieiev, A. Alatan, A. Erdem, B. Ghanem, B. Liu, B. Han, B. Martinez, C.-M. Chang, C. Xu, C. Sun, D. Kim, D. Chen, D. Du, D. Mishra, D.-Y. Yeung, E. Gundogdu, E. Erdem, F. Khan, F. Porikli, F. Zhao, F. Bunyak, F. Battistone, G. Zhu, G. Roffo, G. R. K. S. Subrahmanyam, G. Bastos, G. Seetharaman, H. Medeiros, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lu, H. Lee, H. Nam, H. J. Chang, I. Drummond, J. Valmadre, J.-c. Jeong, J.-i. Cho, J.-Y. Lee, J. Zhu, J. Feng, J. Gao, J. Y. Choi, J. Xiao, J.-W. Kim, J. Jeong, J. F. Henriques, J. Lang, J. Choi, J. M. Martinez, J. Xing, J. Gao, K. Palaniappan, K. Lebeda, K. Gao, K. Mikolajczyk, L. Qin, L. Wang, L. Wen, L. Bertinetto, M. K. Rapuru, M. Poostchi, M. Maresca, M. Danelljan, M. Mueller, M. Zhang, M. Arens, M. Valstar, M. Tang, M. Baek, M. H. Khan, N. Wang, N. Fan, N. Al-Shakarji, O. Miksik, O. Akin, P. Moallem, P. Senna, P. H. S. Torr, P. C. Yuen, Q. Huang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, R. Stolkin, R. Walsh, S. B. Krah, S. Li, S. Zhang, S. Yao, S. Hadfield, S. Melzi, S. Lyu, S. Li, S. Becker, S. Golodetz, S. Kakanuru, S. Choi, T. Hu, T. Mauthner, T. Zhang, T. Pridmore, V. Santopietro, W. Hu, W. Li, W. Hübner, X. Lan, X. Wang, X. Li, Y. Li, Y. Demiris, Y. Wang, Y. Qi, Z. Yuan, Z. Cai, Z. Xu, Z. He, and Z. Chi. The visual object tracking VOT2016 challenge results. European Conference on Computer Vision Workshop (ECCVW), pages 777--823, 2016.

#189: S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald

Automatic tuberculosis screening using chest radiographs

IEEE Trans. Medical Imaging, Volume 33, pgs. 233-245, 2014

classification, features, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Jaeger:TMI-2013-TBScreening,
  author = "S. Jaeger and A. Karargyris and S. Candemir and L. Folio and J. Siegelman and F. Callaghan and Z. Xue and K. Palaniappan and R. Singh and S. Antani and G. Thoma and Y.-X. Wang and P.-X. Lu and C. J. McDonald",
  title = "Automatic tuberculosis screening using chest radiographs",
  year = 2014,
  journal = "IEEE Trans. Medical Imaging",
  volume = 33,
  number = 2,
  pages = "233-245",
  keywords = "classification, features, machine learning, data mining, biomedical",
  doi = "10.1109/TMI.2013.2284099"
}

S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald. Automatic tuberculosis screening using chest radiographs. IEEE Trans. Medical Imaging, volume 33, issue 2, pages 233-245, 2014.

12 Publications by "Y.-X. Wang"

deep learning, vocal folds, laryngeal endoscopy, laryngeal closure detection, laryngeal adductor reflex

vessel segmentation, confocal microscopy images, deep learning, semantic segmentation

oral diadochokinesis, syllable detection, mouth/jaw motion, deep learning

deep learning, laryngeal adductor reflex, automated detection, endoscopy video analysis

diadochokinesis analysis, speech signal analysis, deep learning, event detection, event localization

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

drone-based multiple object tracking, drone performance evaluation, multi-object tracking

performance, evaluation, short-term, single-object trackers, vot

classification, features, machine learning, data mining, biomedical