1. “Image Similarity-Based Finite Element Model Registration” by Robert Toth, Anant Madabhushi, United States US 14/225,850, Mar, 2014. Link.2

2. “Computer Assisted Diagnosis (CAD) of Cancer Using Multi-Functional in vivo Magnetic Resonance Spectroscopy (MRS) and Imaging (MRI)” by Anant Madabhushi, Satish Viswanath, Pallavi Tiwari, Robert Toth, Mark Rosen, John Tomaszeweski, Michael Feldman, PCT/US08/81656, Oct. 2008. Link.

Theses & Dissertations

3. Toth, R. “Evaluating Treatment Related Changes for Prostate Cancer via Image Analysis Tools and Magnetic Resonance Imaging”, Ph.D. Dissertation, Rutgers University, 2014. doi: 10.7282/T3XP7308 (PDF)

4. Toth, R. “Improved Active Shape Models for Segmentation of the Prostate on MR Imagery,” M.S. Thesis, Rutgers University, 2010. (PDF)

Peer-Reviewed Journal Publications

5. Toth, R., Traughber, B., Ellis, R., Kurhanewicz, J., Madabhushi, A., “A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.” Neurocomputing 144(20) Nov 2014. pp. 3-12 doi: 10.1016/j.neucom.2014.01.058.

6. Toth, R.J., Shih, N., Tomaszewski, J.E., Feldman, M.D., Kutter, O., Yu, D.N., Paulus, J.C., Paladini, G., Madabhushi, A., “HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.” Journal of Pathology Informatics 5(8), Mar 2014. doi: 10.4103/2153-3539.129441.

7. Litjens, G., Toth, R., van de Ven, W., Hoeks, C., Kerkstra, S., van Ginneken, B., Vincent, G., Guillard, G., Birbeck, N., Zhang, J., Strand, R., Malmberg, F., Ou, Y., Davatzikos, C., Kirschner, M., Jung, F., Yuan, J., Qiu, W., Gao, Q., Edwards, P.E., Maan, B., van der Heijden, F., Ghose, S., Mitra, J., Dowling, J., Barratt, D., Huisman, H., Madabhushi, A. “Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.” Medical Image Analysis 25:18(2), Dec 2013 pp. 359-373. doi: 10.1016/

8. Toth, R., Ribault, J., Gentile, J.C., Sperling, D., Madabhushi, A. “Simultaneous Segmentation of Prostatic Zones Using Active Appearance Models with Multiple Coupled Levelsets,” CVIU Special Issue on Shape Modeling 117(9), Sep 2013. pp. 1051-1060. doi: 10.1016/j.cviu.2012.11.013.

9. Toth, R., Madabhushi, A., “Multi-Feature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation,” IEEE TMI 31(8), pp. 1638-1650. Jun 2012. doi: 10.1109/TMI.2012.2201498.

10. Bulman, J.C., Toth, R., Patel, A.D., Bloch, N.B., MacMahon C.J., Ngo L., Madabhushi, A., Rofsky, N.M., "Automated Computer-Derived Prostate Volumes from MRI Data: Comparison to Radiologist-Derived MRI Volumes and Pathology Specimen Volumes," Radiology 262 (1), Jan 2012. pp. 144-151. doi: 10.1148/radiol.11110266.

11. Toth, R., Tiwari, P., Rosen, M., Reed, G., Kurhanewicz, J., Kalyanpur, A., Pungavkar, S., Madabhushi, A. “A Magnetic Resonance Spectroscopy Driven Initialization Scheme for Active Shape Model Based Prostate Segmentation.” Medical Image Analysis 15 (2), Apr 2011. pp. 214-225. doi: 10.1016/

12. Toth, R., Bloch, N., Genega, E., Rofsky, N., Lenkinski, R., Rosen, M., Madabhushi, A. “Accurate Prostate Volume Estimation Using Active Shape Models on T2-Weighted MRI.” Academic Radiology 18 (2), Jun 2011, pp. 745-754. doi: 10.1016/j.acra.2011.01.016.

13. Viswanath, S, Bloch, B.N., Chappelow, J., Toth, R., Genega, E., Lenkinski, R., Rofsky, N., Madabhushi, A., “Central Gland and Peripheral Zone Prostate Tumors have Significantly Different Quantitative Imaging Signatures on 3 Tesla Endorectal, In Vivo T2-Weighted Magnetic Resonance Imagery”, Journal of Magnetic Resonance Imaging 36(1), 2012. pp. 213-224 doi: 10.1002/jmri.23618.

14. Chowdhury, N., Toth, R., Chappelow, J., Kim, S., Motwani, S., Punekar, S., Lin, H., Both, S., Vapiwala, N., Hahn, S., Madabushi, An. “Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.” Medical Physics 39(4), Apr 2012, pp. 2214-2228. doi: 10.1118/1.3696376. (Editor’s Pick)

Peer-Reviewed Conference Publications

15. Toth, R., Doyle, S., Rosen, M., Pungavkar, S., Kalyanpur, A., Madabhushi, A., “WERITAS: Weighted Ensemble of Regional Image Textures for ASM Segmentation,” SPIE Medical Imaging 7258, pp. 725905-725905-11, 2009. doi: 10.1117/12.812473. (Best Paper Award)

16. Hwuang, E., Danish, S., Rusu, M., Sparks, R., Toth, R., Madabhushi, A. “Anisotropic Smoothing Regularization (AnSR) in Thirion's Demons Registration Evaluates Brain MRI Tissue Changes Post-Laser Ablation.” Conf Proc IEEE Eng Med Biol Soc. 2013.

17. Toth, R., Sparks, R., Madabhushi, A., “Medial Axis Based Statistical Shape Model (MASSM): Applications to Prostate Segmentation,” ISBI 2011. doi: 10.1109/ISBI.2011.5872676.

18. Toth, R., Chappellow, J., Rosen, M., Pungavkar, S., Kalyanpur, A., Madabhushi, A., “A Multi-Attribute, Non-Initializing, Texture Reconstruction Based Active Shape Model (MANTRA),” MICCAI 5241, pp. 653-661, 2008. doi: 10.1007/978-3-540-85988-8_78.

19. Viswanath, S., Tiwari, P., Chappelow, J., Toth, R., Kurhanewicz, J., Madabhushi, A., “Cadonc: An Integrated Toolkit for Evaluating Radiation Therapy Related Changes in the Prostate Using Multiparametric MRI,” ISBI 2011. doi: 10.1109/ISBI.2011.5872825.

20. Viswanath, S, Chappelow, J, Toth, R, Linkinski, R, Bloch, B, Madabhushi, A., “A Comprehensive Segmentation Registration and Cancer Detection Scheme on 3T in vivo Prostate DCE MRI”, MICCAI, pp. 662-669, 2008. doi: 10.1007/978-3-540-85988-8_79.

21. Sparks, R., Toth, R, Chappelow, J, Xiao, G, & Madabhushi, A. “An Integrated Framework for Analyzing Three-Dimensional Shape Differences: Evaluating Prostate Morphometry.” ISBI pp. 1081-1084, 2010. doi: 10.1109/ISBI.2010.5490180.

22. Toth, R., Kurhanewicz, J., Madabhushi, A. “Registration of Pre and Post Intensity Modulated Radiation Therapy Prostate MRI for Quantification of MR Imaging Marker Changes and Precise Local Prostate Deformations” ISMRM 2013.

23. Viswanath, S, Toth, R., Rusu, M., Sperling, D., Lepor, H., Futterer, J, Madabhushi, A., “Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer”, SPIE Medical Imaging, 2013, vol 8671, 86711F. doi: 10.1117/12.2008037.

24. Prabu, S., Toth, R., Madabhushi, A., “A statistical deformation model (SDM) based regularizer for non-rigid image registration: application to registration of multimodal prostate MRI and histology,” SPIE Medical Imaging, 2013, vol 8676, 86760C. doi: 10.1117/12.2008707.

25. Toth, R., Chappelow, J., Kutter, O., Vetter, C., Russ, C., Feldman, M., Tomaszewski, J., Shih, N., Madabhushi, A., “Incorporating the Whole-Mount Prostate Histology Reconstruction Program Histostitcher© into the Extensible Imaging Platform (XIP) Framework,” SPIE Medical Imaging 8315, 2012. doi: 10.1117/12.912938.

26. Toth, R., Bulman, J., Patel, A., Bloch, B.N., Genega, E.M., Rofsky, N.M., Lenkinski, R.E., Madabhushi, A., "Integrating an Adaptive Region Based Appearance Model with a Landmark Free Statistical Shape Model: Application to Prostate MRI Segmentation," SPIE Medical Imaging 7962, 2011. doi: 10.1117/12.878346.

27. Toth, R., Bloch, B.N., Genega, E.M., Rofsky, N.M., Lenkinski, R.E., Rosen, M.A.,Madabhushi, A., "Accurate Prostate Volume Determination from T2-w MRI using Statistical Shape Models," ISMRM 2011.

28. Toth, R., Tiwari, P., Rosen, M., Pungavkar, S., Kalyanpur, A., Madabhushi, A., “An Integrated Multi-Modal Prostate Segmentation Scheme Combining Spectral Clustering and Active Shape Models,” SPIE 6914, 2008. doi: 10.1117/12.770772.

29. Chowdhury, N., Chappelow, J., Toth, R., Kim, S., Hahn, S., Vapiwala, N., Lin, H., Both, S., Madabhushi, A., “Linked Statistical Shape Models for Multi-Modal Segmentation: Application to Prostate CT-MR Segmentation in Radiotherapy Planning,” SPIE Medical Imaging 7963, 2011. doi: 10.1117/12.878416.

30. Viswanath, S., Bloch, B.N., Rosen, M., Chappelow, J., Toth,, R., Rofsky, N., Lenkinski, R., Genega, E., Kalyanpur, A., Madabhushi, A., “Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol in vivo 3 Tesla MRI”, SPIE 7260, pp. 72603I-72603I-12, 2009. doi: 10.1117/12.811899.