M.N. To, S. Sankineni, S. Xu, B. Turkbey, P.A. Pinto, M. Merino, V. Moreno, B.J. Wood, J.T. Kwak, Improving dense pixelwise prediction of epithelial density using unsupervised data augmentation for consistency regularization, In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2020, Oct 4-8. Paper
M.N. To, S. Xu, S. Sankineni, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, M. Merino, V. Moreno, J.T. Kwak, Deep learning framework for epithelium density estimation in prostate multi-parametric magnetic resonance imaging, In Biomedical Imaging: From Nano to Macro, 2020 IEEE International Symposium on., April 3-7, 2020. Paper
D. Lee, J.T. Kwak, Deep neural networks for Korean fonts generation, In International Conference on Electronics, Information, and Communication 2020, Jan. 19-22, 2020. Paper
T. Vuong, D. Lee, J.T. Kwak, K. Kim, Multi-task deep learning for colon cancer grading, In International Conference on Electronics, Information, and Communication 2020, Jan. 19-22, 2020. Paper
M.N. To, H.J. Kim, H.G. Roh, Y. Cho, J.T. Kwak, Deep regression neural networks for collateral assessment from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke, In Computer Assisted Radiology and Surgery 2019, June 18-21, 2019.
Q.D. Vu, Q.D. Duong, D. Lee, S.M. Hewitt, J.T. Kwak, Scale embedding shared neural networks for multiscale histological analysis of prostate cancer, In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. Paper
S. Azizi, P. Yan, A. Tahmasebi, P.A. Pinto, B.J. Wood, J.T. Kwak, S. Xu, B. Turkbey, P.L. Choyke, P. Mousavi, P. Abolmaesumi, Learning from noisy label statistics: Detecting high grade prostate cancer in ultrasound guided biopsy, In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2018, Sep 16-20, Springer International Publishing, pp. 21-29, 2018. Paper
Q.D. Vu, M.N. To, E. Kim, J.T. Kwak, Micro and macro breast histology image analysis by partial network re-use, In International Conference on Image Analysis and Recognition 2018 , Lecture Notes in Computer Science , June 27-29, 2018. Paper
M.N. To, Q.D. Vu, B. Turkbey, P. Choyke, J.T. Kwak, Deep dense multipath neural network for prostate segmentation in magnetic resonance imaging, In Computer Assisted Radiology and Surgery 2018, June 20-23, 2018.
Q.D. Vu, M.N. To, E. Kim, J.T. Kwak, Deep residual endocing-decoding networks for tissue segmentation, In Biomedical Imaging: From Nano to Macro, 2018 IEEE International Symposium on., April 4-7, 2018.
J.T. Kwak, R. Bhargava, S. Mittal, Deep convolutional neural networks for histologic analysis in high-definition fourier transform infrared spectroscopy imaging, In Biomedical Imaging: From Nano to Macro, 2018 IEEE International Symposium on., April 4-7, 2018.
E. Kim, S. Im, O.N. Lee, H.Y. Park, H. Moon, J.T. Kwak, Deep convolution and up-convolution network for plant segmentation, In International Conference on Electronics, Information, and Communication 2018, Jan 24-27, 2018. Paper
J.T. Kwak, S.M. Hewitt, R. Bhargava, Deep convolutional neural networks for prostate cancer detection in infrared spectrosopic imaging, In Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, July 11-15, 2017.
M.N. To, J.K. Kim, J.T. Kwak, Transfer learning with deep residual networks for prostate cancer detection in multiparametric magnetic resonance imaging, In Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, July 11-15, 2017.
D.Q. Vu, S.M. Hewitt, J.T. Kwak, Fine-tuning residual networks for classifying prostate tissue components, In Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, July 11-15, 2017.
S. Azizi, P. Mousavi, P. Yan, A. Tahmasebi, J.T. Kwak, S. Xu, B. Turkbey, P.L. Choyke, P.A. Pinto, B.J. Wood, P. Abolmaesumi, Adaptive learning from RF to B-mode ultrasound data for prostate cancer detection, In International Conference on Information Processing in Computer-Assisted Intervections, June 20-21, 2017.
J.T. Kwak, Deep convolutional neural networks for nuclear analysis of prostate cancer, In Biomedical Imaging: From Nano to Macro, 2017 IEEE International Symposium on., April 18-21, 2017.
Y.K. Tsehay, N.S. Lay, X. Wang, J.T. Kwak, B. Turkbey, P.A. Pinto, B.J. Wood, R.M. Summers, Biopsy-guided learning with deep convolutional neural networks for prostate cancer detection on multiparametic MRI, In Biomedical Imaging: From Nano to Macro, 2017 IEEE International Symposium on., April 18-21, 2017. Paper
J.T. Kwak, S.M. Hewitt, Lumen-based detection of prostate cancer via convolutional neural networks, In SPIE Medical Imaging, International Society for Optics and Photonics, 2017. Paper
Y.K. Tsehay, N.S. Lay, H.R. Roth, X. Wang, J.T. Kwak, B. Turkbey, P.A. Pinto, B.J. Wood, R.M. Summers, Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance imaging, In SPIE Medical Imaging, International Society for Optics and Photonics, 2017. Paper
J.T. Kwak, H.G. Ha, S. Im, S. Shim, E. Kim, O N. Lee, H.Y. Park, H.J. Moon, Low-altitude imagery of unmanned aerial vehicles for radish monitoring: a pilor study, In International Conference on Electronics, Information, and Communication 2017, Jan 11-14, 2017.
J.T. Kwak, Convolutional neural networks for prostate cancer detection, In International Conference on Electronics, Information, and Communication 2017, Jan 11-14, 2017.
S. Azizi, F. Imani, J.T. Kwak, A. Tahmasebi, S. Xu, P. Yan, J. Kruecker, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, P. Mousavi, P. Abolmaesumi, Classifying cancer grades using temporal ultrasound for transrectal prostate biopsy, In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016, Oct 17-21, Springer International Publishing, pp. 653-661, 2016. Paper
J.T. Kwak, S. Xu, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, Do clinical variables augment multi-parametric MRI computer-aided diagnosis, In World Conference on Interventional Oncology 2016, June 9-12 2016.
T.P. Wrobel, J.T. Kwak, A. Balla, R. Bhargava, High-definition Fourier transform infrared spectroscopic imaging of prostate tissue, In SPIE Medical Imaging, International Society for Optics and Photonics: Digital Pathology, 97911D, March 23, 2016 Paper
S. Azizi, F. Imani, B. Zhuang, A. Tahmasebi, J.T. Kwak, S. Xu, N. Uniyal, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, M. Moradi, P. Mousavi, P. Abolmaesumi, Ultrasound-based detection of prostate cancer using automatic feature selection with deep belief networks, In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015, October 5-9, Springer International Publishing, pp. 70-77, 2015. Paper
J.T. Kwak, S.M. Hewitt, S. Xu, B.J. Wood, Multiview boosting for prostate cancer diagnosis, In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, August 25-29 2015. Paper
J.T. Kwak, S.M. Hewitt, S. Xu, P.A. Pinto, B.J. Wood, Nucleus detection using gradient orientation information and linear least squares regression, In SPIE Medical Imaging, International Society for Optics and Photonics, 2015. Paper
N. Uniyal, F. Imani, A. Tahmasebi, P. Choyke, B. Turkbey, P.A. Pinto, B.J. Wood, S. Xu, J.T. Kwak, P. Yan, J. Kruecker, S. Bharat, H. Agarwal, P. Abolmaesumi, P. Mousavi, M. Moradi, Ultrasound-based prediction of prostate cancer in MRI-guided biopsy, In Clinical Image-based Procedures. Translational Research in Medical Imaging, 2014. (Best paper award, 3rd place) Paper
S. Xu, J. Kruecker, H. Amalou, J.T. Kwak, B.J. Wood, Real-time treatment iterative planning for composite ablations, In Computer Assisted Radiology and Surgery 2014, June 25-28 2014.
J.T. Kwak, S. Xu, P.A. Pinto, B. Turkbey, M. Bernardo, P.L. Choyke, B.J. Wood, A multiview boosting approach to tissue segmentation, In SPIE Medical Imaging, International Society for Optics and Photonics, 2014. (Cum Laude poster award, 1st place) Paper
J.T. Kwak, S. Sinha, R. Bhargava, A new segmentation framework for infrared spectroscopic imaging using frequent pattern mining, In Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on, pp.452-455, March 30 2011-April 2 2011. (Travel Award) Paper