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Publications

 
  • Lim A., Lo J., Wagner M.W., Ertl-Wagner B. & Sussman D. (2023). Motion Artifact Correction in Fetal MRI Based on Generative Adversarial Network Method. International Society for Magnetic Resonance in Medicine, Toronto, Canada.
  • Eisenstat J., Wagner M., Vidarsson L., Ertl-Wagner B. & Sussman D. (2023). Automatic Fetal Orientation Detection Algorithm in Fetal MRI. International Society for Magnetic Resonance in Medicine, Toronto, Canada.
  • Costanzo A., Ertl-Wagner B. & Sussman D. (2023). Amniotic Fluid Segmentation using Convolutional Neural Networks. International Society for Magnetic Resonance in Medicine, Toronto, Canada.
  • Anand A., Nussey D. & Sussman D. (2023). Comparison of Combinations of MTR, FLAIR and T1WCE MRI Images for Automatic Segmentation of Brain Metastases. International Society for Magnetic Resonance in Medicine, Toronto, Canada.
  • Wagner S., Costanzo A., Lim A., Wagner M.W., Vidarsson L., Ertl-Wagner B. & Sussman D. (2023). Normative reference data for fetal placental amniotic fluid volume ratios throughout gestation using automatic machine learning segmentation of 3D fetal MRI. ObGyn Research Day 2023, Toronto, Canada.
  • Young D., Hobson S., Kajal D. & Sussman D.(2023). Automatic ultrasound classification of placenta accreta spectrum disorder using deep learning. ObGyn Research Day 2023, Toronto, Canada. University of Toronto, Faculty of Medicine. 
  • Wagner S., Costanzo A., Lim A., Wagner M.W., Vidarsson L., Ertl-Wagner B. & Sussman D. (2023). Normative reference data for fetal placental amniotic fluid volume ratios throughout gestation using automatic machine learning segmentation of 3D fetal MRI. iBEST Symposium, Toronto, Canada.
  • Sadanand S., Stanisz G. & Sussman D. (2023). Measuring CEST solute exchange rate to enable metabolite quantification. iBEST Symposium 2023, Toronto, Canada.
  • Lim A., Lo J., Wagner M.W., Ertl-Wagner B. & Sussman D. (2023). Artifact detection algorithm using deep learning in fetal MRI. Imaging Network Ontario, London, Canada.
  • Young D., Hobson S., Kajal D. & Sussman D. (2023). Deep learning for placenta accreta spectrum classification of ultrasound images. Imaging Network Ontario, London, Canada.
  • Costanzo A., Wagner S., Ertl-Wagner B. & Sussman D. (2023). Placental MRI Segmentation Using a Novel Convolutional Neural Network. Imaging Network Ontario, London, Canada.
  • Sherman D., Ahlawat R., Munim A., Sobel M. & Sussman D. (2023). Automatic Detection Endometrial Pathology Slides. Imaging Network Ontario, London, Canada.
  • Sadanand S., Lam W., Stanisz G. & Sussman D. (2023). Decoupling CEST solute exchange rate from pool size. Imaging Network Ontario, London, Canada.
  • Sadanand S., Lam W., Stobbe R., Stanisz G. & Sussman D. (2022). Optimization of multi-band saturation for 3-shot quantification of glucoCEST. Gordon Research Conference: In Vivo Magnetic Resonance, Andover, NH, United States of America.
  • Young D., Houshmand B., Tan C.C., Kirubarajan A., Parbhakar A., Dada J., Whittle W., Sobel M.L., Gomez L., Ruediger M., Pecks U., Oppelt P., Ray J., Hobson S., Snelgrove J., D'Souza R., Kashef R. & Sussman D. (2022). Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 using machine learning. ObGyn Research Day, University of Toronto, Toronto, Canada.
  •  Sare, D., Cho, E., Vidarsson, L., Stanisz, G., Sussman, D. (2022) Tissue Equivalent Agarose/MnCl2 MRI Relaxation Phantom for MR Studies, ImNO Conference Proceedings 2022. 20th Imaging Network Ontario (ImNO) symposium, Virtual Symposium.
  • Sadanand, S., Waddell, N., Stanisz, G. & Sussman, D. (2021). DS- MT- Bound Solvent- and 4-Pool Gloco-CEST Optimization of Simultaneous Multiple Offset Saturation Pulse via Genetic Algorithm. ImNO Conference Proceedings 2021. 19th Imaging Network Ontario (ImNO) symposium, Virtual Symposium. 
  • Lo J, Nithiyanatham S, Cardinell J, Sussman D, et al. (2021). Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation. 19th Annual Imaging Network Ontario Symposium (ImNO), Toronto, Canada.
  • Cho, E., Lee, M. & Sussman, D. (2021). Materials for Anthropomorphic MRI Phantoms. ImNO Conference Proceedings 2021. 19th Imaging Network Ontario (ImNO) symposium, Virtual Symposium. 
  • Al Refai A, Kulkarni AV, Blaser S, Sussman D, Drake J, Carvalho J, Ryan G, Abbasi N, Van Mieghem T. (2019). Impact of fetal surgery on progression of ventriculomegaly in fetuses with spina bifida. 36th Annual Research Day, Department of ObGyn, University of Toronto, Toronto, Canada.
  • Goolaub DS, Roy CW, Sussman D, Seed M & Macgowan CK  (2018). Rapid single slice multidimensional fetal flow imaging with MRI. International Society for Magnetic Resonance in Medicine 26th Annual Meeting, Paris, France.
  • Goolaub DS, Roy CW, Schrauben E, Marini D, Sussman D, Seed, M & Macgowan, CK. (2018). 3D imaging of fetal blood flow with MRI. James Lepock Memorial Student Symposium, Toronto, Canada.
  • Goolaub DS, Roy CW, Sussman D, Seed M & Macgowan CK (2018). Multidimensional fetal flow imaging with MRI. 16th Annual Imaging Network Ontario Symposium (ImNO), Toronto, Canada.
  • Sussman D, Aboulenain S, Saini B, Seed M, Lye SJ, Wells GD (2017). Effects of Habitual Gestational Exercise on Feto-Maternal Cardiometabolic Function. Clinical Applications of Exercise Medicine Symposium, The Hospital for Sick Children, Toronto, ON. 
  • Sussman, D. & Henkelman, R. M. (2011). Optical Projection Tomography (OPT) for imaging mouse development. Karolinska Conference - Exchange. Conference Proceedings. 
  • Moon D-S, Simard, L, Sussman D, et al. (2010). The Science Calibration System for the TMT NFIRAOS and Client Instrument: Requirements and Design Studies. SPIE Astronomical and Telescope Instrumentation Conference, San Diego, CA.
  • Campbell MCW, Seaman A, Sussman D, et al. (2009). Induction and Tracking of the Rat Eye Model of Age Related Macular Degeneration. Photonics North and Canadian Institute for Photonic Innovation (CIPI) Conference, Quebec City, Quebec.
  • Campbell MCW, Seaman A, Sussman D, et al. (2009). A Rat Eye Model for Studying and Treating Age-Related Macular Degeneration. Abstract FTuQ4. Frontiers in Optics, Optical Society of America (OSA), San Jose, CA.
  • Sussman D, et al. (2008). The Rat Eye as a Model for 2 Photon Excitation Photodynamic Therapy. Canadian Institute for Photonic Innovations (CIPI), Banff, Alberta.
  • Sussman D, et al. (2008). Development of an Analytic Schematic Elliptical Gradient Index Model for the Eye of a Rat. Frontiers in Optics, Optical Society of America (OSA), Rochester, NY.

 
  • Costanzo A., Ertl-Wagner B. & Sussman D. (2023). Automatic Segmentation of Amniotic Fluid in Fetal MRI. Bioengineering. tbd(tbd): 1-9.
  • Lim A., Lo J., Wagner M.W., Ertl-Wagner B. & Sussman D. (2023). Motion Artifact Correction in Fetal MRI Based on a Generative Adversarial Network Method. Biomedical Signal Processing and Control. 81, 104484: ISSN 1746-8094. http://dx.doi.org/https://doi.org/10.1016/j.bspc.2022.104484
  • Eisenstat J., Wagner M.W., Vidarsson L., Ertl-Wagner B. & Sussman D. (2023). Fet-Net Algorithm for Automatic Detection of Fetal Orientation in Fetal MRI. Bioengineering. 10(2): 104.
  • Young D., Houshmand B., Tan C.C., Kirubarajan A., Parbhakar A., Dada J., Whittle W., Sobel M.L., Gomez L.M., Rudiger M., Pecks U., Oppelt P., Ray J.G., Hobson S.R., Snelgrove J.W., D'Souza R., Kashef R. & Sussman D. (2023). Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach. BMC Pregnancy and Childbirth. tbd: tbd.
  • Kirubarajan A., Young D., Castro N., Khan S., Sobel M. & Sussman D. (2022). Artifical Intelligence and its applications in placental imaging: a scoping review. Placenta. tbd: tbd.
  • Lo J., Lim A., Wagner M.W., Ertl-Wagner B. & Sussman D. (2022). Fetal Organ Anomaly Classification Network (FOAC-Net) for Identifying Organ Anomalies in Fetal MRI. Frontiers in AI. 5: 832485. http://dx.doi.org/10.3389/frai.2022.832485 
  • Lim A., Lo J., Wagner M.W., Ertl-Wagner B. & Sussman D. (2022). Automatic Artifact Detection Algorithm in Fetal MRI. Frontiers in AI. 5(861791): (eCollection 2022). http://dx.doi.org/10.3389/frai.2022.861791
  • Nussey D., Munim A., Singh R., Anand A., Lam W., Stanisz G., & Sussman D. (2022). Comparison of Multi-modal MRI for Automatic Segmentation of Brain Metastases. Computerized Medical Imaging and Graphics. tbd(tbd): 1-10.
  • Sussman D. & Tannenbaum E. (2022). Editorial for "Diffusion-Weighted Magnetic Resonance Imaging and Morphological Characteristics Evaluation for Outcome Predicted of Primary Debulking Surgery for Advanced High-Grade Serous Ovarian Carcinoma". Journal of MRI (JMRI). Epub ahead of print.(Oct 3): 1. http://dx.doi.org/10.1001/jmri.28447
  • Lo J., Nithiyanantham S., Cardinell J., Young D., Cho S., Kirubarajan A., Wagner M.W., Azma R., Miller S., Seed M., Ertl-Wagner B. & Sussman D. (2021). Cross attention squeeze excitation network (CASE-Net) for whole body fetal MRI segmentation. Sensors. 21(13): 4490. http://dx.doi.org/10.3390/s21134490
  • Kirubarajan A., Young D., Khan S., Crasto N., Sobel M. & Sussman D. (2021). Artificial intelligence and surgical education: a systematic scoping review of interventions. Journal of Surgical Education. 79(2): 500-515. http://dx.doi.org/10.1016/j.jsurg.2021.09.012
  • Crasto N., Kirubarajan A. & Sussman D. (2021). Anthropomorphic brain phantoms for use in MRI systems: a systematic review. Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA). 35(2): 277-289. http://dx.doi.org/10.1007/s10334-021-00953-w
  • Cho E., Chiu L.L.Y., Lee M., Naila D., Sadanand S., Waldman S.D., Sussman D. (2021). Characterization of mechanical and dielectric properties of silicone rubber. Polymers. 13(1831). 1-18. http://dx.doi.org/10.3390/polym13111831
  • Lo, J., Cardinell, J., Costanzo, A., & Sussman, D. (2021). Medical augmentation (med-aug) for optimal data augmentation in Medical Deep Learning Networks. Sensors, 21(21), 7018. https://doi.org/10.3390/s21217018 
  • Kirubarajan, A., Young, D., Khan, S., Crasto, N., Sobel, M., & Sussman, D. (2021). Artificial Intelligence and Surgical Education: A systematic scoping review of interventions. Journal of Surgical Education. https://doi.org/10.1016/j.jsurg.2021.09.012
  • Lo, J., Nithiyanantham, S., Cardinell, J., Young, D., Cho, S., Kirubarajan, A., Wagner, M. W., Azma, R., Miller, S., Seed, M., Ertl-Wagner, B., & Sussman, D. (2021). Cross attention squeeze excitation network (case-net) for whole body fetal MRI segmentation. Sensors, 21(13), 4490. https://doi.org/10.3390/s21134490 
  • Crasto, N., Kirubarajan, A., & Sussman, D. (2021). Anthropomorphic brain phantoms for use in MRI systems: A systematic review. Magnetic Resonance Materials in Physics, Biology and Medicine. https://doi.org/10.1007/s10334-021-00953-w 
  • Cho, E., Chiu, L. L., Lee, M., Naila, D., Sadanand, S., Waldman, S. D., & Sussman, D. (2021). Characterization of mechanical and dielectric properties of silicone rubber. Polymers, 13(11), 1831. https://doi.org/10.3390/polym13111831 
  • Sussman, D., Saini, B. S., Schneiderman, J. E., Spitzer, R., Seed, M., Lye, S. J., & Wells, G. D. (2019). Uterine artery and umbilical vein blood flow are unaffected by moderate habitual physical activity during pregnancy. Prenatal Diagnosis, 39(11), 976–985. https://doi.org/10.1002/pd.5517 
  • AlRefai, A., Kulkarni, A. V., Blaser, S., Sussman, D., Drake, J., Carvalho, J., Ryan, G., Abbasi, N., & Van Mieghem, T. (2019). Impact of fetal surgery on progression of ventriculomegaly in fetuses with spina bifida. Journal of Obstetrics and Gynaecology Canada, 41(5), 708. https://doi.org/10.1016/j.jogc.2019.02.153 
  • Shulman, M., Cho, E., Aasi, B., Cheng, J., Nithiyanantham, S., Waddell, N., & Sussman, D. (2019). Quantitative analysis of Fetal Magnetic Resonance Phantoms and recommendations for an anthropomorphic motion phantom. Magnetic Resonance Materials in Physics, Biology and Medicine, 33(2), 257–272. https://doi.org/10.1007/s10334-019-00775-x 
  • Goolaub, D. S., Roy, C. W., Schrauben, E., Sussman, D., Marini, D., Seed, M., & Macgowan, C. K. (2018). Multidimensional fetal flow imaging with Cardiovascular Magnetic Resonance: A feasibility study. Journal of Cardiovascular Magnetic Resonance, 20(1). https://doi.org/10.1186/s12968-018-0498-z 
  • Sussman, D., da Costa, L., Chakravarty, M. M., Pang, E. W., Taylor, M. J., & Dunkley, B. T. (2017). Concussion induces focal and widespread neuromorphological changes. Neuroscience Letters, 650, 52–59. https://doi.org/10.1016/j.neulet.2017.04.026 
  • Sussman, D., Leung, R. C., Mallar Chakravarty, M., Lerch, J. P., & Taylor, M. J. (2016). The developing human brain: Age-related changes in cortical, subcortical, and cerebellar anatomy. Brain and Behavior, 6(6). https://doi.org/10.1002/brb3.515 
  • Sussman, D., Lye, S. J., & Wells, G. D. (2016). Introductory editorial: Effects of maternal physical activity on the fetus. Early Human Development, 94, 31. https://doi.org/10.1016/j.earlhumdev.2016.01.003 
  • Sussman, D., Lye, S. J., & Wells, G. D. (2016). Impact of maternal physical activity on fetal breathing and body movement—A review. Early Human Development, 94, 53-56. https://doi.org/10.1016/j.earlhumdev.2016.01.006
  • Sussman, D., Lye, S. J., & Wells, G. D. (2016). Summary and synthesis of current knowledge. Early Human Development, 94, 63–64. https://doi.org/10.1016/j.earlhumdev.2016.01.009
  • Sussman, D., Pang, E. W., Jetly, R., Dunkley, B. T., & Taylor, M. J. (2016). Neuroanatomical features in soldiers with post-traumatic stress disorder. BMC Neuroscience, 17(1), 1–11. https://doi.org/10.1186/s12868-016-0247-x 
  • Sussman, D., Leung, R. C., Vogan, V. M., Lee, W., Trelle, S., Lin, S., Cassel, D. B., Chakravarty, M. M., Lerch, J. P., Anagnostou, E., & Taylor, M. J. (2015). The autism puzzle: Diffuse but not pervasive neuroanatomical abnormalities in children with ASD. NeuroImage: Clinical, 8, 170–179. https://doi.org/10.1016/j.nicl.2015.04.008 
  • Sussman, D., Germann, J., & Henkelman, M. (2014). Gestational ketogenic diet programs brain structure and susceptibility to depression & anxiety in the adult mouse offspring. Brain and Behavior, 5(2), 1–12. https://doi.org/10.1002/brb3.300 
  • Pacey, L. K. K., Xuan, I. C. Y., Guan, S., Sussman, D., Henkelman, R. M., Chen, Y., Thomsen, C., & Hampson, D. R. (2013). Delayed myelination in a mouse model of fragile X syndrome. Human Molecular Genetics, 22(19), 3920–3930. https://doi.org/10.1093/hmg/ddt246
  • Sussman, D., Ellegood, J., & Henkelman, M. (2013). A gestational ketogenic diet alters maternal metabolic status as well as offspring physiological growth and brain structure in the neonatal mouse. BMC Pregnancy and Childbirth, 13(1), 198–207 . https://doi.org/10.1186/1471-2393-13-198 
  • Sussman, D., van Eede, M., Wong, M. D., Adamson, S. L., & Henkelman, M. (2013). Effects of a ketogenic diet during pregnancy on embryonic growth in the mouse. BMC Pregnancy and Childbirth, 13, 109–120. https://doi.org/10.1186/1471-2393-13-109 
  • Sussman, D., Chou, B. R., & Lakshminarayanan, V. (2011). Eye model for the ground squirrel. Journal of Modern Optics, 58(19-20), 1889–1896. https://doi.org/10.1080/09500340.2010.548608 

 

 

 

  • Sussman D (2023). "AI and Burnout": AI as the Potential Solution to Burnout in Healthcare. Biomedical Innovation Night 2023, Toronto, Canada.
  • Sussman D (2022). What is Biomedical Engineering? Introduction to Engineering (CEN100), Toronto, Canada.
  • Sussman D (2022). AI for Fetal MRI: What does it have to offer? Derek Harwood-Nash Annual Research Symposium, The Hispital for Sick Children, Toronto, Canada.
  • Sussman D (2021). Invited Panel Speaker: Academic Alumni Panel. 19th Imaging Network Ontario (ImNO) Virtual Symposium, Canada
  • Sussman D (2021). Applications of machine learning in maternal-fetal medicine. Physics Colloquium, Ryerson University, Toronto, Canada
  • Sussman D (2021). Invited Panel Speaker: Biomedical Engineering in the Era of COVID19. Biomedical Innovation Night, Virtual Symposium, Toronto, Canada.
  • Sussman D (2021). Invited Panel Speaker. Excelling in Academia: The Women of Ryerson Engineering. Toronto, Canada
  • Sussman D (2019). Biomedical engineering and its applications in fetal imaging. SHAD, Toronto, Canada
  • Sussman D (2019). Fetal MRI: new tools and their applications. iBEST Symposium, Canada
  • Shulman M, Aasi B, Nithiyanantham F, Chan J, Basra G, Sussman D. (2018). Fetal Magnetic Resonance Imaging. SHAD, Canada
  • Sussman D (2018). Decoding Developmental Programming: A Multidisciplinary Imaging Approach. Physics Colloquium, Biomedical Physics Department, Ryerson University, Canada
  • Sussman D (2017). Decoding Developmental Programming: An engineering approach. Biomedical Engineering Symposium, Ryerson University, Canada
  • Sussman D (2017). Exercise during pregnancy and the use of MRI for assessing materno-fetal physiological response. Invited oral presentation. Clinical Applications of Exercise Medicine Symposium, The Hospital for Sick Children, Toronto, ON. 
  • Sussman D, Saini B, Seed M, Lye SJ, Wells GD (2017). Effects of Habitual Physical Activity During Pregnancy on Utero-Placental Circulation. Poster presentation. Pediatrics Research Day, The Hospital for Sick Children, Toronto, ON. 
  • Sussman D (2016). Decoding Developmental Physiology and Defining Evidence-based recommendation for optimal health. Anatomy Symposium, University of Toronto, Canada. 
  • Sussman D  (2013). Gestational ketogenic diet programs brain structure and behaviour of adult mouse offspring.  Neuro- Imaging Interest Group (NIIG) Rounds, The Hospital for Sick Children, Toronto, ON. 
  • Sussman D. (2012). Atkins Diet for the Developing Baby? Effects of a gestational Ketogenic diet on embryonic growth, neonatal brain structure, and adult behaviour. Medical Biophysics, Princess Margaret Hospital (2012), Toronto, ON.
  • Sussman D, et al. (2012). Effects of a gestational Ketogenic diet on mouse embryonic development. Poster presentation. Imaging Network Ontario (ImNO) conference, Toronto, ON.
  • Sussman D, et al. (2011). Optical Projection Tomography (OPT) for imaging mouse development. Oral Presentation. Karolinska Conference - Exchange, Toronto, ON.
  • Moon D-S, Simard L, Sussman D, et al. (2010). The Science Calibration System for the TMT NFIRAOS and Client Instruments: Requirements and Design Studies. Poster Presentation. SPIE Astronomical and Telescope Instrumentation Conference, San Diego, California.
  • Campbell MCW, Seaman A, Sussman D, et al. (2009). Induction and Tracking of the Rat Eye Model of Age Related Macular Degeneration. Poster Presentation. Photonics North and Canadian Institute for Photonic Innovation (CIPI) Conference, Quebec City, Quebec.
  • Campbell MCW, Seaman A, Sussman D, et al. (2009). A Rat Eye Model for Studying and Treating Age-Related Macular Degeneration. Poster Presentation. Frontiers in Optics Conference, Optical Society of America (OSA) Proceeding, San Jose, California.
  • Sussman D, et al. (2008). Development of an Analytic Schematic Elliptical Gradient Index Model for the Eye of a Rat. Poster Presentation. Frontiers in Optics Conference, Optical Society of America (OSA) Proceeding, Rochester, NY.
  • Sussman D, et al. (2008). An Optical Model of the Eye of a Rat with a Gradient Refractive Index Lens. Poster Presentation. Guelph-Waterloo Physics Institute (GWPI) Conference, Guelph, ON.