Johan Verjans

Dr Johan Verjans

Senior Lecturer

Adelaide Medical School

Faculty of Health and Medical Sciences

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Dr Johan Verjans is a clinician-scientist with a research focus on cross-disciplinary translational research with a track record in leadership. In his role as a deputy director at the Australian Institute for Machine Learning (AIML), a world-renowned institute in Machine Learning, and as platform leader artificial intelligence at SAHMRI, he combines experience in molecular medicine and clinical research with vast experience working with engineers for advanced imaging techniques, and computer scientists to apply machine learning to medical problems to translate research into the clinic.

He graduated in medicine from Maastricht University via an MD-PhD track after being awarded the DiPalma Fellowship to work with the renowned Professor Narula in Philadelphia and UC Irvine. During cardiology training, he was awarded a prestigious Rubicon Fellowship by the Dutch Science Foundation to complete a post-doctoral fellowship at Massachusetts General Hospital/Harvard Medical School, followed by a clinician-scientist award at the University Medical Centre Utrecht during his cardiology training. He was recruited by the University of Adelaide in 2017.

Since then, he has formed the Medical Machine Learning group at AIML and using his combined clinical, biomedical and technical expertise to lead a rapidly growing group of clinicians, biomedical researchers and computer scientists with the objective to make the University of Adelaide a global leader in AI in Healthcare, using existing globally renowned AI expertise at AIML. The group has grown to over 20 members, won international technology challenges and has contracts with pharma and technology companies. He is an associate investigator of the ARC Centre for Nanoscale Biophotonics.

His research has been published in leading cardiology journals (Circulation (IF 23.6), JACC (IF 20.6: incl editorial), Nature Reviews Cardiology (IF20.3), Basic Research in Cardiology (IF12.6). He has published six articles in the number 1 ranked imaging journal, JACC CV Imaging (IF12.7), including Front Cover Image+Editorial), in addition to other prestigious journals, such as Light: Science and Applications (IF 15) and IEEE Transaction in Medical Imaging (IF13.94). The most significant achievement in computer science is that his team won the global Medical VQA challenge organised by the NIH. VQA is one of the most challenging areas in machine learning, whereby a the computer is programmed to answer open-ended questions from medical images.

He has given presentations at all major cardiovascular conferences, including several young investigator award sessions. He was chair of the Australian Society for Molecular Imaging Conference, and member of the Publications Committee of the Society for Cardiac MR evaluating clinical imaging guidelines and consensus statements. He was lead author on a chapter in the first book of AI in Medicine (Springer/Nature) and contributed to several other chapters, including an international expert group to standardise machine learning methods in Medical Imaging. He is an Associate Editor of the Netherlands Heart Journal (IF 1.9) and a member of the publication committee in a leading imaging society, Society of Cardiac MR. He has reviewed articles for leading cardiology journals JACC, EHJ, JACC CV imaging, and 30+ other journals and is national and state leadership boards in Cardiology and Data & Analytics, including the Big Data Flagship of the Australian Cardiovascular Alliance.

In the past, he has been national chair of Dutch Medical Students, and I have represented students in the national medical association board, followed by being the national chair of Dutch early/mid-career cardiovascular researchers, supported by the Dutch heart Institute and Dutch Heart Foundation.

Research interests - Cutting-edge Translational Research, Clinical Innovation, E-health

Pre-clinical 
-Noninvasive (Molecular) Imaging of Atherosclerosis, Myocardial infarction, Heart Failure (PET/SPECT, Optical, MRI, CT) 
-Intravascular Imaging of Atherosclerosis (OCT, Hybrid Fluorescence/OCT Catheters)

Clinical (CT, MR)
-Noninvasive imaging of atherosclerotic disease (CT, MRI)
-Noninvasive imaging of interstitial changes after myocardial infarction (SPECT/PET, MRI)
-Population Imaging / Machine learning in Cardiovascular Disease

  • Journals
    Year Citation
    2022 Li, J., Montarello, N., Hoogendoorn, A., Verjans, J., Bursill, C., Peter, K., . . . Psaltis, P. (2022). Multimodality intravascular imaging of high-risk coronary plaque. JACC: Cardiovascular Imaging, 15(1), 145-159.
    DOI Scopus4 Europe PMC2
    2022 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2022). Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. IEEE Transactions on Image Processing, 31, 894-905.
    DOI
    2022 White, J. B., Trim, P. J., Salagaras, T., Long, A., Psaltis, P. J., Verjans, J. W., & Snel, M. F. (2022). Equivalent Carbon Number and Interclass Retention Time Conversion Enhance Lipid Identification in Untargeted Clinical Lipidomics. Analytical Chemistry, 94(8), 3476-3484.
    DOI
    2022 Liao, Z., Liao, K., Shen, H., Van Boxel, M. F., Prijs, J., Jaarsma, R. L., . . . Verjans, J. W. (2022). CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. IEEE Journal of Biomedical and Health Informatics, PP, 1.
    DOI
    2022 Li, J., Thiele, S., Kirk, R. W., Quirk, B. C., Hoogendoorn, A., Chen, Y. C., . . . McLaughlin, R. A. (2022). 3D-printed micro lens-in-lens for in vivo multimodal microendoscopy. Small, 18(17), 2107032-1-2107032-8.
    DOI
    2021 Williams, M. C., Shaw, L., Hirschfeld, C. B., Maurovich-Horvat, P., Nørgaard, B. L., Pontone, G., . . . Sueldo, C. P. (2021). Impact of COVID-19 on the imaging diagnosis of cardiac disease in Europe. Open Heart, 8(2), e001681.
    DOI
    2021 Hirschfeld, C. B., Shaw, L. J., Williams, M. C., Lahey, R., Villines, T. C., Dorbala, S., . . . Masoli, O. (2021). Impact of COVID-19 on Cardiovascular Testing in the United States Versus the Rest of the World. JACC: Cardiovascular Imaging, 14(9), 1787-1799.
    DOI Scopus5 WoS3 Europe PMC6
    2021 Fouladzadeh, A., Dorraki, M., Min, K. K. M., Cockshell, M. P., Thompson, E. J., Verjans, J. W., . . . Abbott, D. (2021). The development of tumour vascular networks. Communications Biology, 4(1), 1111-1-1111-10.
    DOI
    2021 Uretsky, S., Aggarwal, N., van Heeswijk, R. B., Rajpal, S., Rowin, E., Taylor, M. D., . . . Shah, D. J. (2021). Standards for writing Society for Cardiovascular Magnetic Resonance (SCMR) endorsed guidelines, expert consensus, and recommendations: a report of the publications committee.. J Cardiovasc Magn Reson, 23(1), 129.
    DOI
    2021 Pitt, B., Filippatos, G., Agarwal, R., Anker, S. D., Bakris, G. L., Rossing, P., . . . Ruilope, L. M. (2021). Cardiovascular Events with Finerenone in Kidney Disease and Type 2 Diabetes. NEW ENGLAND JOURNAL OF MEDICINE, 385(24), 2252-2263.
    DOI WoS74 Europe PMC30
    2021 Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., . . . Paez, D. (2021). International Impact of COVID-19 on the Diagnosis of Heart Disease. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 77(2), 173-185.
    DOI WoS50 Europe PMC43
    2021 Osborn, E. A., Ughi, G. J., Verjans, J. W., Piao, Z., Gerbaud, E., Albaghdadi, M., . . . Jaffer, F. A. (2021). Intravascular Molecular-Structural Assessment of Arterial Inflammation in Preclinical Atherosclerosis Progression. JACC: Cardiovascular Imaging, 14(11), 2265-2267.
    DOI Scopus1 WoS1 Europe PMC1
    2021 Paige, E., Doyle, K., Jorm, L., Banks, E., Hsu, M. -P., Nedkoff, L., . . . Figtree, G. A. (2021). A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health.. Heart, lung & circulation, 30(10), 1467-1476.
    DOI Scopus3 WoS3 Europe PMC2
    2021 Zhang, J., Xie, Y., Pang, G., Liao, Z., Verjans, J., Li, W., . . . Xia, Y. (2021). Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection. IEEE Transactions on Medical Imaging, 40(3), 879-890.
    DOI Scopus38 WoS33 Europe PMC40
    2021 Wang, D. D., Qian, Z., Vukicevic, M., Engelhardt, S., Kheradvar, A., Zhang, C., . . . Vannan, M. A. (2021). 3D printing, computational modeling, and artificial intelligence for structural heart disease. JACC: Cardiovascular Imaging, 14(1), 41-60.
    DOI Scopus9 WoS7 Europe PMC2
    2021 Tian, Y., Pu, L. Z. C. T., Liu, Y., Maicas, G., Verjans, J. W., Burt, A. D., . . . Carneiro, G. (2021). Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning.. CoRR, abs/2101.03285.
    2021 Tian, Y., Pang, G., Liu, F., Chen, Y., Shin, S. -H., Verjans, J. W., . . . Carneiro, G. (2021). Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12905 LNCS, 128-140.
    DOI Scopus1
    2020 Montarello, N. J., Nelson, A. J., Verjans, J., Nicholls, S. J., & Psaltis, P. J. (2020). The role of intracoronary imaging in translational research. Cardiovascular Diagnosis and Therapy, 10(5), 1480-1507.
    DOI
    2020 Tian, Y., Maicas, G., Pu, L. Z. C. T., Singh, R., Verjans, J. W., & Carneiro, G. (2020). Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy.. CoRR, abs/2006.14811.
    2020 Sengupta, P. P., Shrestha, S., Berthon, B., Messas, E., Donal, E., Tison, G. H., . . . Arnaout, R. (2020). Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council. JACC: Cardiovascular Imaging, 13(9), 2017-2035.
    DOI Scopus31 WoS31 Europe PMC17
    2020 Li, J., Thiele, S., Quirk, B. C., Kirk, R. W., Verjans, J. W., Akers, E., . . . McLaughlin, R. A. (2020). Ultrathin monolithic 3D printed optical coherence tomography endoscopy for preclinical and clinical use. Light: Science and Applications, 9(1), 124-1-124-10.
    DOI Scopus24 WoS22 Europe PMC3
    2020 Li, J., Thiele, S., Quirk, B. C., Kirk, R. W., Verjans, J. W., Akers, E., . . . McLaughlin, R. A. (2020). Ultrathin monolithic 3D printed optical coherence tomography endoscopy for preclinical and clinical use.. Light, science & applications, 9(1), 124.
    DOI
    2019 Siegersma, K. R., Leiner, T., Chew, D. P., Appelman, Y., Hofstra, L., & Verjans, J. W. (2019). Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist. Netherlands Heart Journal, 27(9), 403-413.
    DOI Scopus31 WoS32 Europe PMC21
    2019 Verjans, J., & Leiner, T. (2019). Artificial intelligence for the general cardiologist. Netherlands Heart Journal, 27(9), 389-391.
    DOI Scopus1
    2019 Liu, Y., Tian, Y., Maicas, G., Pu, L. Z. C. T., Singh, R., Verjans, J. W., & Carneiro, G. (2019). Photoshopping Colonoscopy Video Frames.. CoRR, abs/1910.10345.
    2018 Khokhar, K., Lau, D., Mahajan, R., Elliott, A., Stiles, M., Mishima, R., . . . Sanders, P. (2018). Aortic Pulse-Wave Velocity Assessment in Atrial Fibrillation. Heart, Lung and Circulation, 27, S63-S64.
    DOI
    2017 Bozhko, D., Osborn, E. A., Rosenthal, A., Verjans, J. W., Hara, T., Kellnberger, S., . . . Ntziachristos, V. (2017). Quantitative intravascular biological fluorescence-ultrasound imaging of coronary and peripheral arteries in vivo.. European heart journal cardiovascular Imaging, 18(11), 1253-1261.
    DOI Scopus20 WoS19 Europe PMC9
    2017 Rienks, M., Carai, P., Bitsch, N., Schellings, M., Vanhaverbeke, M., Verjans, J., . . . Papageorgiou, A. (2017). Sema3A promotes the resolution of cardiac inflammation after myocardial infarction. Basic Research in Cardiology, 112(4), 42-1-42-13.
    DOI Scopus38 WoS37 Europe PMC26
    2016 Verjans, J., Osborn, E., Ughi, G., Calfon Press, M., Hamidi, E., Antoniadis, A., . . . Jaffer, F. (2016). Targeted Near-Infrared Fluorescence Imaging of Atherosclerosis: Clinical and Intracoronary Evaluation of Indocyanine Green. JACC: Cardiovascular Imaging, 9(9), 1087-1095.
    DOI Scopus59 WoS55 Europe PMC31
    2016 Teske, A., & Verjans, J. (2016). Takotsubo cardiomyopathy – Stunning views on the broken heart. Netherlands Heart Journal, 24(9), 508-510.
    DOI Scopus3 WoS2 Europe PMC1
    2015 Ughi, G. J., Verjans, J., Fard, A. M., Wang, H., Osborn, E., Hara, T., . . . Tearney, G. J. (2015). Dual modality intravascular optical coherence tomography (OCT) and near-infrared fluorescence (NIRF) imaging: a fully automated algorithm for the distance-calibration of NIRF signal intensity for quantitative molecular imaging. International Journal of Cardiovascular Imaging, 31(2), 259-268.
    DOI Scopus41 WoS39 Europe PMC25
    2014 Jaffer, F. A., & Verjans, J. W. (2014). Molecular imaging of atherosclerosis: Clinical state-of-the-art. Heart, 100(18), 1469-1477.
    DOI Scopus26 WoS25 Europe PMC18
    2013 Verjans, J. W., & Jaffer, F. A. (2013). Biological imaging of atherosclerosis: Moving beyond anatomy. Journal of Cardiovascular Translational Research, 6(5), 681-694.
    DOI Scopus7 WoS7 Europe PMC4
    2011 Verjans, J. W. H., van de Borne, S. W. M., Hofstra, L., & Narula, J. (2011). Molecular imaging of myocardial remodeling after infarction.. Methods in molecular biology (Clifton, N.J.), 680, 227-235.
    DOI Scopus6 Europe PMC4
    2011 Narula, N., Zaragoza, M. V., Sengupta, P. P., Li, P., Haider, N., Verjans, J., . . . Wallace, D. C. (2011). Adenine nucleotide translocase 1 deficiency results in dilated cardiomyopathy with defects in myocardial mechanics, histopathological alterations, and activation of apoptosis. JACC: Cardiovascular Imaging, 4(1), 1-10.
    DOI Scopus39 WoS36 Europe PMC29
    2010 Kenis, H., Zandbergen, H. R., Hofstra, L., Petrov, A. D., Dumont, E. A., Blankenberg, F. D., . . . Reutelingsperger, C. P. M. (2010). Annexin A5 uptake in ischemic myocardium: Demonstration of reversible phosphatidylserine externalization and feasibility of radionuclide imaging. Journal of Nuclear Medicine, 51(2), 259-267.
    DOI Scopus63 WoS59 Europe PMC58
    2010 Van Den Borne, S. W. M., Diez, J., Blankesteijn, W. M., Verjans, J., Hofstra, L., & Narula, J. (2010). Myocardial remodeling after infarction: The role of myofibroblasts. Nature Reviews Cardiology, 7(1), 30-37.
    DOI Scopus499 WoS488 Europe PMC362
    2010 Verjans, J., Wolters, S., Laufer, W., Schellings, M., Lax, M., Lovhaug, D., . . . Hofstra, L. (2010). Early molecular imaging of interstitial changes in patients after myocardial infarction: Comparison with delayed contrast-enhanced magnetic resonance imaging. Journal of Nuclear Cardiology, 17(6), 1065-1072.
    DOI Scopus33 WoS29 Europe PMC23
    2009 Zandbergen, H. R., Sharma, U. C., Gupta, S., Verjans, J. W. H., Van Den Borne, S., Pokharel, S., . . . Hofstra, L. (2009). Macrophage depletion in hypertensive rats accelerates development of cardiomyopathy. Journal of Cardiovascular Pharmacology and Therapeutics, 14(1), 68-75.
    DOI Scopus47 WoS44 Europe PMC34
    2008 van den Borne, S. W. M., Isobe, S., Verjans, J. W., Petrov, A., Lovhaug, D., Li, P., . . . Narula, J. (2008). Molecular Imaging of Interstitial Alterations in Remodeling Myocardium After Myocardial Infarction. Journal of the American College of Cardiology, 52(24), 2017-2028.
    DOI Scopus118 WoS112 Europe PMC80
    2008 Verjans, J. W. H., Lovhaug, D., Narula, N., Petrov, A. D., Indrevoll, B., Bjurgert, E., . . . Narula, J. (2008). Noninvasive Imaging of Angiotensin Receptors After Myocardial Infarction. JACC: Cardiovascular Imaging, 1(3), 354-362.
    DOI Scopus66 WoS61 Europe PMC38
    2008 Verjans, J., Hofstra, L., & Narula, J. (2008). Molecular imaging of interstitial alterations after myocardial infarction.. Journal of cardiovascular translational research, 1(3), 221-224.
    DOI
    2006 Petrucci, R. J., Truesdell, K. C., Carter, A., Goldstein, N. E., Russell, M. M., Dilkes, D., . . . Narula, J. (2006). Cognitive Dysfunction in Advanced Heart Failure and Prospective Cardiac Assist Device Patients. Annals of Thoracic Surgery, 81(5), 1738-1744.
    DOI Scopus30 WoS24 Europe PMC21
    2005 Hartung, D., Sarai, M., Petrov, A., Kolodgie, F., Narula, N., Verjans, J., . . . Narula, J. (2005). Resolution of apoptosis in atherosclerotic plaque by dietary modification and statin therapy. Journal of Nuclear Medicine, 46(12), 2051-2056.
    Scopus66 WoS65 Europe PMC47
    2003 Verjans, J. W., Narula, N., Loyd, A., Narula, J., & Vannan, M. A. (2003). Myocardial contrast echocardiography in acute myocardial infarction. Current Opinion in Cardiology, 18(5), 346-350.
    DOI Scopus2 WoS2 Europe PMC2
    2003 Kolodgie, F. D., Petrov, A., Virmani, R., Narula, N., Verjans, J. W., Weber, D. K., . . . Narula, J. (2003). Targeting of Apoptotic Macrophages and Experimental Atheroma with Radiolabeled Annexin V: A Technique with Potential for Noninvasive Imaging of Vulnerable Plaque. Circulation, 108(25), 3134-3139.
    DOI Scopus217 WoS194 Europe PMC140
    Tian, Y., Liu, F., Pang, G., Chen, Y., Liu, Y., Verjans, J. W., . . . Carneiro, G. (n.d.). Self-supervised Multi-class Pre-training for Unsupervised Anomaly
    Detection and Segmentation in Medical Images.
    White, J., Trim, P., Salagaras, T., Long, A., Psaltis, P., Verjans, J., & Snel, M. (n.d.). Effective Carbon Number and Inter-Class Retention Time Conversion Enhances Lipid Identifications in Untargeted Clinical Lipidomics.
    DOI
    Dorraki, M., Muratovic, D., Fouladzadeh, A., Verjans, J. W., Allison, A., Findlay, D. M., & Abbott, D. (n.d.). Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures.
    DOI
    Tian, Y., Pang, G., Liu, Y., Wang, C., Chen, Y., Liu, F., . . . Carneiro, G. (n.d.). Unsupervised Anomaly Detection in Medical Images with a Memory-augmented
    Multi-level Cross-attentional Masked Autoencoder.
    Tian, Y., Pang, G., Liu, F., Liu, Y., Wang, C., Chen, Y., . . . Carneiro, G. (n.d.). Contrastive Transformer-based Multiple Instance Learning for Weakly
    Supervised Polyp Frame Detection.

  • Book Chapters
    Year Citation
    2020 Rana, K., Nicholls, S. J., & Verjans, J. W. (2020). Mechanisms of the Vulnerable Atherosclerotic Plaque and Imaging. In R. Fitridge (Ed.), Mechanisms of Vascular Disease: a textbook for vascular specialists (3 ed., pp. 47-70). Cham, Switzerland: Springer.
    DOI
    2019 Verjans, J., Veldhuis, W. B., Carneiro, G., Wolterink, J. M., Išgum, I., & Leiner, T. (2019). Cardiovascular diseases. In E. R. Ranschaert, S. Morozov, & P. R. Algra (Eds.), Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks (pp. 167-185). Cham, Switzerland: Springer.
    DOI Scopus3
    2010 Strauss, H. W., Verjans, J. W. H., Zaret, B. L., & Narula, J. (2010). Radionuclide imaging of inflammation in atheroma. In Clinical Nuclear Cardiology (pp. 713-722). Elsevier.
    DOI
    2007 Verjans, J., & Narula, J. (2007). Radionuclide Imaging. In The Vulnerable Atherosclerotic Plaque: Strategies for Diagnosis and Management (pp. 247-256). Blackwell Publishing.
    DOI
    2007 Vannan, M. A., Ahsan, C., Verjans, J., Petrov, A., & Narula, J. (2007). Ultrasonic Detection of Coronary Disease. In The Vulnerable Atherosclerotic Plaque: Strategies for Diagnosis and Management (pp. 211-221). Blackwell Publishing.
    DOI Scopus1

  • Conference Papers
    Year Citation
    2021 Tian, Y., Pang, G., Chen, Y., Singh, R., Verjans, J. W., & Carneiro, G. (2021). Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Vol. abs/2101.10030 (pp. 4955-4966). online: IEEE.
    DOI Scopus1
    2021 Shen, H., Liao, K., Liao, Z., Doornberg, J., Qiao, M., Van Den Hengel, A., & Verjans, J. W. (2021). Human-AI interactive and continuous sensemaking: A case study of image classification using scribble attention maps. In Proceedings of the Conference on Human Factors in Computing Systems (CHI'21) (pp. 1-8). New York, NY: Association for Computing Machinery.
    DOI
    2020 Zhang, J., Xie, Y., Liao, Z., Verjans, J., & Xia, Y. (2020). EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12554 LNCS (pp. 17-25). Switzerland: Springer International Publishing.
    DOI Scopus3
    2020 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2020). Pairwise Relation Learning for Semi-supervised Gland Segmentation.. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, . . . L. Joskowicz (Eds.), MICCAI (5) Vol. 12265 (pp. 417-427). Switzerland: Springer Nature.
    DOI
    2020 Liao, Z., Wu, Q., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). AIML at VQA-Med 2020: Knowledge inference via a skeleton-based sentence mapping approach for medical domain visual question answering. In L. Cappellato, C. Eickhoff, N. Ferro, & A. Névéol (Eds.), Proceedings of the 11th International Conference of the CLEF Initiative (CLEF 2020), as published in CEUR Workshop Proceedings Vol. 2696 (pp. 1-14). online: CEUR-WS.
    Scopus1
    2020 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2020). Pairwise Relation Learning for Semi-supervised Gland Segmentation.. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, . . . L. Joskowicz (Eds.), MICCAI (5) Vol. 12265 (pp. 417-427). Switzerland: Springer Nature.
    DOI Scopus3
    2020 Liao, Z., Liu, L., Wu, Q., Teney, D., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). Medical data inquiry using a question answering model. In Proceedings: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) Vol. 2020-April (pp. 1490-1493). online: IEEE.
    DOI Scopus4 WoS2
    2020 Liu, Y., Tian, Y., Maicas Suso, G., Zorron Cheng Tao Pu, L., Singh, R., Verjans, J. W., & Carneiro, G. (2020). Photoshopping colonoscopy video frames. In Proceedings of the IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) Vol. 2020-April (pp. 1-5). Iowa City, Iowa, USA: IEEE.
    DOI Scopus3 WoS1
    2020 Tian, Y., Maicas Suso, G., Zorron Cheng Tao Pu, L., Singh, R., Verjans, J. W., & Carneiro, G. (2020). Few-shot anomaly detection for polyp frames from colonoscopy. In Proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020), as published in Lecture Notes in Computer Science Vol. 12266 (pp. 274-284). Switzerland: Springer Nature.
    DOI Scopus4
    2019 Snaauw, G., Gong, D., Maicas, G., van den Hengel, A., Niessen, W. J., Verjans, J., & Carneiro, G. (2019). End-to-end diagnosis and segmentation learning from cardiac magnetic resonance imaging. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019): Proceedings Vol. 2019-April (pp. 802-805). online: IEEE.
    DOI Scopus10 WoS9
    2019 Snaauw, G., Gong, D., Maicas, G., Hengel, A. V. D., Niessen, W. J., Verjans, J., & Carneiro, G. (2019). End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.. In ISBI (pp. 802-805). IEEE.
    2018 Siegersma, K. R., Zreik, M., Coroller, T. P., Dweck, M. R., Everett, R. J., Treibel, T., . . . Verjans, J. W. H. (2018). Prediction of the risk of valve surgery and adverse events in patients with aortic stenosis: myocardial tissue characterization with radiomics. In EUROPEAN HEART JOURNAL Vol. 39 (pp. 1129-1130). Munich, GERMANY: OXFORD UNIV PRESS.
    2018 Siegersma, K. R., Zreik, M., Coroller, T., Dweck, M. R., Everett, R. J., Treibel, T., . . . Verjans, J. W. H. (2018). Discrimination of fibrotic myocardium from healthy myocardium patients with aortic stenosis: a radiomics approach with machine learning models. In EUROPEAN HEART JOURNAL Vol. 39 (pp. 971-972). Munich, GERMANY: OXFORD UNIV PRESS.
    2017 Bozhko, D., Osborn, E. A., Rosenthal, A., Verjans, J. W. H., Hara, T., McCarthy, J. R., . . . Ntziachristos, V. (2017). Quantitative intravascular fluorescence-ultrasound imaging in vivo. In Optics InfoBase Conference Papers Vol. Part F63-OMP 2017. OSA.
    DOI
    2015 Verjans, J. W., Osborn, E. A., Ughi, G. J., Antoniadis, A. P., Papafaklis, M. I., Libby, P., . . . Jaffer, F. A. (2015). First clinical and intracoronary evaluation of indocyanine green for targeted intravascular near-infrared fluorescence imaging of high-risk atherosclerotic plaques. In EUROPEAN HEART JOURNAL Vol. 36 (pp. 1194). London, ENGLAND: OXFORD UNIV PRESS.
    2014 Verjans, J., Osborn, E., Ughi, G., Kessinger, C. W., Mallidi, S., Hasan, T., . . . Jaffer, F. A. (2014). First-in-Human Evaluation of Indocyanine Green for Targeted Optical Imaging of Atherosclerosis: Implications for Inflamed, High-Risk Plaques. In CIRCULATION Vol. 130 (pp. 4 pages). LIPPINCOTT WILLIAMS & WILKINS.
    2007 Verjans, J. W., Wolters, S. L., Lax, M., Laufer, W., Boersma, H., Kemerink, G. K., . . . Hofstra, L. (2007). Imaging alpha v beta 3/beta 5 integrin upregulation in patients after myocardial infarction. In CIRCULATION Vol. 116 (pp. 740-741). Orlando, FL: LIPPINCOTT WILLIAMS & WILKINS.
    WoS3
    2007 Van den Borne, S. W., Isobe, S., Verjans, J., Petrov, A., Lovhaug, D., Li, P., . . . Narula, J. (2007). Molecular imaging of post-infarction cardiac remodeling and effects of anti-angiotensi in therapy. In CIRCULATION Vol. 116 (pp. 289-290). Orlando, FL: LIPPINCOTT WILLIAMS & WILKINS.
    WoS5
    2005 Li, P., Tonti, G., Verjans, J., Pedrizzetti, G., Mehta, H., Appleby, S., . . . Vannen, M. A. (2005). Measurement of apical torsion in mitochrondrial cardiomyopathy using a novel B-mode, automated tracking algorithm. In JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY Vol. 45 (pp. 305A). Orlando, FL: ELSEVIER SCIENCE INC.
    WoS3
    2004 Verjans, J. W., Haider, N., Li, P., Narula, N., Brittin, R., Gabe, J. D., . . . Vannan, M. A. (2004). Targeted ultrasound imaging of apoptosis in acute myocardial injury with Annexin-A5 microspheres. In CIRCULATION Vol. 110 (pp. 509). New Orleans, LA: LIPPINCOTT WILLIAMS & WILKINS.
    WoS1

  • Conference Items
    Year Citation
    2020 Franke, K., Loffler, K. A., Nicholls, S. J., Anderson, C. S., Cowan, B. R., McEvoy, R. D., . . . Verjans, J. W. (2020). Effects of CPAP treatment on cardiac structure and function in individuals with obstructive sleep apnea and cardiovascular disease: a prospective 6-month randomised control trial. Poster session presented at the meeting of EUROPEAN HEART JOURNAL. ELECTR NETWORK: OXFORD UNIV PRESS.
    DOI
    2018 Siegersma, K. R., Zreik, M., Coroller, T. P., Dweck, M. R., Everett, R. J., Treibel, T., . . . Verjans, J. W. H. (2018). P5463Prediction of the risk of valve surgery and adverse events in patients with aortic stenosis: myocardial tissue characterization with radiomics. Poster session presented at the meeting of European Heart Journal. Oxford University Press (OUP).
    DOI
    2018 Siegersma, K. R., Zreik, M., Coroller, T., Dweck, M. R., Everett, R. J., Treibel, T., . . . Verjans, J. W. H. (2018). P4686Discrimination of fibrotic myocardium from healthy myocardium patients with aortic stenosis: a radiomics approach with machine learning models. Poster session presented at the meeting of European Heart Journal. Oxford University Press (OUP).
    DOI
    2016 Osborn, E. A., Ughi, G. J., Verjans, J. W., Gerbaud, E., Takx, R. A., Tawakol, A., . . . Jaffer, F. A. (2016). In Vivo Plaque Inflammation and Endothelial Permeability Independently Predict Atherosclerosis Progression: A Serial Multimodality Imaging Study. Poster session presented at the meeting of ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY. LIPPINCOTT WILLIAMS & WILKINS.
    WoS1
    2016 Verjans, J. W., Ughi, G. J., Osborn, E. A., Gerboud, E. M., Takx, R. A., Tawakol, A., . . . Jaffer, F. A. (2016). Multimodality intravascular molecular imaging of inflammation and endothelial permeability independently predicts plaque progression over time. Poster session presented at the meeting of EUROPEAN HEART JOURNAL. Rome, ITALY: OXFORD UNIV PRESS.

  • Curated or Produced Public Exhibition or Events
    Year Citation
    2021 Hajdu, T., Van Den Hengel, A., Sherrah, J., Dalby, P., & Verjans, J. (2021). Adelaide Festival of Ideas: Art of Artificial Intelligence (No. Of Pieces: 1 hour) [panel discussion]. Adelaide: https://adelaidefestivalofideas.com.au.

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2019 Co-Supervisor Lipidomics in the Study of Atherosclerosis Doctor of Philosophy Doctorate Full Time Mr Jake White
    2019 Co-Supervisor Medical Machine Learning Doctor of Philosophy Doctorate Full Time Mr Yu Tian

  • Board Memberships
    Date Role Board name Institution name Country
    2021 - ongoing Advisory Board Member AI in Health Hub SA Government Australia
    2021 - ongoing Board Member Innovation Board Netherlands Heart Registry Australia
    2019 - ongoing Advisory Board Member Big Data Advisory Board Australian Cardiovascular Alliance Australia

  • Editorial Boards
    Date Role Editorial Board Name Institution Country
    2016 - ongoing Associate Editor Netherlands Heart Journal Springer Australia
    2015 - ongoing Associate Editor Netherlands Heart Journal Netherlands
  • Position: Senior Lecturer
  • Email: johan.verjans@adelaide.edu.au
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning
  • Org Unit: Australian Institute for Machine Learning - Operations
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