2020

L.M. Dang, H. Wang, Y. Li, K. Min, J.T. Kwak, O.N. Lee, H. Park, H. Moon, Fusarium Wilt of Radish Detection using RGB and Near-Infrared Images from Unmanned Aerial Vehicles, Remote Sensing, 2020. Paper

Q.D. Vu, K. Kim, J.T. Kwak, Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks, IEEE Journal of Biomedical and Health Informatics, 2020. Paper

A. Sedghi, A. Mehrtash, A. Jamzad, A. Amalou, W.M. Wells III, T. Kapur, J.T. Kwak, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, S. Xu, P. Abolmaesumi, P. Mousavi, Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound, International Journal of Computer Assisted Radiology and Surgery, 2020, pp. 1-1. Paper

2019

S. Graham, Q.D. Vu, S.E.A. Raza, A. Azam, Y.W. Tsang, J.T. Kwak, N. Rajpoot, Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images, Medical Image Analysis, 2019. Paper

N. Kumar , R. Verma, D. Anand, Y. Zhou, O.F. Onder, E. Tsougenis, H. Chen, P.A. Heng, J. Li, Z. Hu, Y. Wang, N.A. Koohbanani, M. Jahanifar, N.Z. Tajeddin, A. Gooya, N. Rajpoot, X. Ren, S. Zhou, Q. Wang, D. Shen, C.K. Yang, C.H. Weng, W.H. Yu, C.Y. Yeh, S. Yang, S. Xu, P.H. Yeung, P. Sun, A. Mahbod, G. Schaefer, I. Ellinger, R. Ecker, O. Smedby, C. Wang, B. Chidester, T.V. Ton, M.T. Tran, J. Ma, M.N. Do, S. Graham, Q.D. Vu, J.T. Kwak, A. Gunda, R. Chunduri, C. Hu, X. Zhou, D. Lotfi, R. Safdari, A. Kascenas, A. O'Neil, D. Eschweiler, J. Stegmaier, Y. Cui, B. Yin, K. Chen, X. Tian, P. Gruening, E. Barth, E. Arbel, I. Remer, A. Ben-Dor, E. Sirazitdinova, M. Kohl, S. Braunewell, Y. Li, X. Xie, L. Shen, J. Ma, K.D. Baksi, M.A. Khan, J. Choo, A. Colomer, V. Naranjo, L. Pei, K.M. Iftekharuddin, K. Roy, D. Bhattacharjee, A. Pedraza, M.G. Bueno, S. Devanathan, S. Radhakrishnan, P. Koduganty, Z. Wu, G. Cai, X. Liu, Y. Wang, A. Sethi, A Multi-organ Nucleus Segmentation Challenge, IEEE Transactions on Medical Imaging, 2019. Paper

M.N. To, H.J. Kim, H.G. Roh, Y. Cho, J.T. Kwak, Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke, International Journal of Computer Assisted Radiology and Surgery, 2019, pp. 1-10. Paper

G. Aresta, T. Araujo, S. Kwok, S.S. Chennamsetty, M. Safwan, V. Alex, B. Marami, M. Prastawa, M. Chan, M. Donovan, G. Fernandez, J. Zeineh, M. Kohl, C. Walz, F. Ludwig, S. Braunewell, M. Baust, Q.D. Vu, M.N.N. To, E. Kim, J.T. Kwak, S. Galal, V. Sanchez-Freire, N. Brancati, M. Frucci, D. Riccio, Y. Wang, L. Sun, K. Ma, J. Fang, I. Kone, L. Boulmane, A. Campiho, C. Eloy, A. Polonia, P. Aguiar, BACH: Grand challenge on breast cancer histology images, Medical Image Analysis, 2019, pp. 122-139. Paper

Q.D. Vu, S. Graham, M.N. To, M. Shaban, T. Qaiser, N.A. Koohbanani, S.A. Khurram, T. Kurc, K. Farahani, T. Zhao, R. Gupta, J.T. Kwak, N. Rajpoot, J. Saltz, Methods for segmentation and classification of digital microscopy tissue images, Frontiers in Bioengineering and Biotechnology, 2019, pp. 1-10. Paper

A. Sedghi, M. Pesteie, G. Javadi, S. Azizi, P. Yan, J.T. Kwak,S. Xu, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, R. Rohling, P. Abolmaesumi, P. Mousavi, Deep neural maps for unsupervised visualization of high grade cancer in prostate biopsies, International Journal of Computer Assisted Radiology and Surgery, 2019, pp. 1-10. Paper

Q.D. Vu, J.T. Kwak, A dense multi-path decoder for tissue segmentation in histopathology images, Computer Methods and Programs in Biomedicine, 2019, pp. 1-10. Paper

2018

S. Graham, Q.D. Vu, S.E.A. Raza, J.T. Kwak, N. Rajpoot, XY Network for nuclear segmentation in multi-tissue histology images, 2018. Paper (Submitted)

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, International Journal of Computer Assisted Radiology and Surgery, 2018, pp. 1-10. Paper

S. Azizi, S. Bayat, P. Yan, A. Tahmasebi, J.T. Kwak, S. Xu, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, P. Mousavi, P. Abolmaesumi, Deep recurrent neural networks for prostate cancer detection: analysis of temporal enhanced ultrasound, IEEE Transactions on Medical Imaging, 2018. Paper

S. Azizi, N.V. Woudenberg, S. Sojoudi, M. Li, S. Xu, E.M. Abu Anas, P. Yan, A. Tahmasebi, J.T. Kwak, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, P. Mousavi, P. Abolmaesumi, Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy, International Journal of Computer Assisted Radiology and Surgery, 2018, pp. 1-9. Paper

2017

J.G. Ha, H. Moon, J.T. Kwak, S.I. Hassan, M. Dang, O.N. Lee, H.Y. Park, Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles, Journal of Applied Remote Sensing, 2017, 11(4), 042621. Paper

J.T. Kwak, S.M. Hewitt, Nuclear architecture analysis of prostate cancer via convolutional neural networks, IEEE Access, 2017, PP(99), pp. 1-1. Paper

J.T. Kwak, S. Sankineni, S. Xu, B. Turkbey, P.L. Choyke, P.A. Pinto, V. Moreno, M. Merino, B.J. Wood, Prostate cancer: a correlative study of multiparametric MR imaging and digital histopathology, Radiology, 2017, 285(1), pp. 147-156. Paper

S. Azizi, S. Bayat, P. Yan, A. Tahmasebi, G. Nir, J.T. Kwak, S. Xu, S. Wilson, K.A. Iczkowski, M.S. Lucia, L. Goldenberg, S.E. Salcudean, P.A. Pinto, B.J. Wood, P. Abolmaesumi, P. Mousavi, Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations, International Journal of Computer Assisted Radiology and Surgery, 2017, 12(8), pp. 1293-1305. Paper

N. Lay, Y. Tsehay, M.D. Greer, B. Turkbey, J.T. Kwak, P.L. Choyke, P.A. Pinto, B.J. Wood, R.M. Summers, Detection of prostate cancer in multiparametric MRI using random forest with instance weighting, Journal of Medical Imaging, 2017, 4(2), 024506. Paper

J.T. Kwak, S.M. Hewitt, Multiview boosting digital pathology analysis of prostate cancer, Computer Methods and Programs in Biomedicine, 2017, 142, pp. 91-99. Paper

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, Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection, International Journal of Computer Assisted Radiology and Surgery, 2017, 12(7), pp. 1111-1121. Paper

M. Sajjad, S. Khan, Z. Jan, K. Muhammad, H. Moon, J.T. Kwak, S. Rho, S.W. Baik, I. Mehmood, Leukocytes classification and segmentation in microscopic blood smear: a resource-aware healthcare service in samrt cities, IEEE Access, 2017, 5, pp. 3475-3489. Paper

2016

J.T. Kwak, S.M. Hewitt, A. Balla, S. Sinha, R. Bhargava, Automated prostate tissue referencing for cancer detection and diagnosis, BMC Bioinformatics, 2016, 17(1). Paper

S. Azizi, F. Imani, S. Ghavidel, A. Tahmasebi, J.T. Kwak, S. Xu, B. Turkbey, P.L. Choyke, P.A. Pinto, B.J. Wood, P. Mousavi, P. Abolmaesumi, Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study, International Journal of Computer Assisted Radiology and Surgery, 2016, pp. 1-10. Paper

2015

J.T. Kwak, S. Sankineni, S. Xu, B. Turkbey, P.L. Choyke, P.A. Pinto, M. Merino, B.J. Wood, Correlation of magnetic resonance imaging with digital histopathology in prostate, International Journal of Computer Assisted Radiology and Surgery, 2015, pp. 1-10. Paper

J.T. Kwak, S. Xu, B.J. Wood, B. Turkbey, P.L. Choyke, P.A. Pinto, S. Wang, R.M. Summers, Automated prostate cancer detection using T2-weighted and high-b-value diffusion weighted magnetic resonance imaging, Medical Physics, 2015, vol. 42, pp. 2368-2378. Paper

J.T. Kwak, A. Balla, V. Marcias, M. Walsh, S. Sinha, R. Bhargava, Improving prediction of prostate cancer recurrence using chemical imaging, Scientific Reports, 2015, 5(8758). Paper

J.T. Kwak, S. Xu, B.J. Wood, Efficient data mining for local binary pattern in texture image analysis , Expert Systems with Applications, 2015, 42(9), pp. 4529-4539. Paper

J.T. Kwak, C. W. Hong, P. A. Pinto, M. Williams, S. Xu, J. Kruecker, P. Yan, B. Turkbey, P. Choyke, B.J. Wood, Is visual registration equivalent to semiautomated registration in prostate biopsy?, BioMed Research International, 2015, 2015. Paper

F. Imani, B. Zhuang, A. Tahmasebi, J.T. Kwak, S. Xu, H. Agarwal, S. Bharat, N. Uniyal, B. Turkbey, P. Choyke, P.A. Pinto, B.J. Wood, M. Moradi, P. Mousavi, P. Abolmaesumi, Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study, International Journal of Computer Assisted Radiology and Surgery, 2015, 10(6), pp. 727-735. Paper

S. Xu, H. Amalou, J.T. Kwak, T. Lynch, H. Agarwal, B. Turkbey, P.A. Pinto, P. Choyke, B.J. Wood, ABSTRACT - Fusion guidance system with ablate-able phantom for prostate laser ablation, Journal of Vascular and Interventional Radiology, 2015, 26(2), S119. Paper

M.A. Qayyum, J.T. Kwak, M.F. Insana, Stromal-epithelial responses to fractional radiotherapy in a breast cancer microenvironment, Cancer Cell International, 2015, 15:67. Paper

2012-2011

J.T. Kwak, R. Reddy, S. Sinha, R. Bhargava, Analysis of variance in spectroscopic imaging data from human tissues, Analytical Chemistry, 2012, 84(2), pp.1063-1069. Paper

J.T. Kwak, S. Hewitt, S. Sinha, R. Bhargava, Multimodal microscopy for automated histologic analysis of prostate cancer, BMC Cancer, 2011, 11. 62. Paper