News

November 2023

VL appointed as Associate Editor in Frontiers in Ophthalmology, in charge of section "New Technologies in Ophthalmology"

Bhardwaj, R.; Balaji, J.J.;Lakshminarayanan, V. OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution. J.Imaging 2023, 9, 246. https://doi.org/10.3390/jimaging911024

October 2023

1. Rishav Bhardwaj, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan,"OW-SLR: overlapping windows on semi-local region for image superresolution," Proc. SPIE 12674, Applications of Digital Image Processing XLVI,1267416; doi: 10.1117/12.2680629

September 2023

Jordyn Matthew joins lab group; Welcome Jordyn!

August 2023

V.L. presented  4 hour short course "optics of the eye for engineers", SPIE Optics and Photonics annual meeting, San Diego, CA.

July 2023

Abdul's AAO abstract accepted, American Academy of Optometry Annual Meeting, New Orleans, October 2023. Congratulations Abdul.

V.L. presented a webinar: Optics of the Eye, SPIE

J. Jothi Balaji, Nihar Yatin Moghe, Saurabh Mishra, Vishal Maheshbhai Sindhi,   Rajiv Raman, Vasudevan Lakshminarayanan,  Morphological Characteristics of Central Retinal Blood Vessels in Myopia: Analysof Ultra-Wide Field Images Using Image Processing., ARVO India meeting

June 2023

J. Jothi Balaji, Nihar Yatin Moghe, Saurabh Mishra, Vishal Maheshbhai Sindhi,    Rajiv Raman, Vasudevan Lakshminarayanan, Morphological Characteristics of Central Retinal Blood Vessels in Myopia: Analysis of Ultra-Wide Field Images Using Image Processing. ARVO India annual meeting, Madurai, India.

May 2023

Welcome three new MITACS interns:  Saurabh Mishra ,Vishal Sindhi and Moghe Nihar Yatin

Publication of : 

Anuradha Narayanan, Krishna Kumar Ramani, Aiswaryah Radhakrishnan, PremNandhini Satgunam, Vasudevan Lakshminarayanan and Shrikant R Bharadwaj,”Optometry in India: Vision of Professor Jay M Enoch and its present status” Asian J. Physics,32:127-135, 2023.

Elena Alonso-Redondo, Maria L Calvo, and Vasudevan Lakshminarayanan,  Experimental determination of the MTF of a diffraction limited image forming system: an approximation to the eye pupil characterization, Asian J. Physics, 32:149-158, 2023

 Vasudevan Lakshminarayanan, The eikonal equation via adaptive control theory Asian J. Physics, 32:205-208, 2023 

April 2023

Publication of: Chouhan, S.; Kalluri Bharat, R.P.; Surya, J.; Mohan, S.; Balaji, J.J.; Viekash, V.K.; Lakshminarayanan, V.; Raman, R. Preliminary Report on Optical Coherence Tomography Angiography Biomarkers in Non-Responders and Responders to Intravitreal Anti-VEGF Injection for Diabetic Macular Oedema. Diagnostics 2023, 13, 1735. https:// doi.org/10.3390/diagnostics13101735

Amor Gueddana and V. Lakshminarayanan, ,  Quantum Logic Circuits, SPIE Press, Bellingham, WA. under review

VL presented plenary talk at at indo-french workshop on photonics and metamaterials.

VL gave invited lecture at dept. of math and computer science, National institute of Technology,Mangalore, India

February 2023

Abdul's ARVO abstract accepted.  The paper "Advancing hyperacuity testing for vision screening" will be presented at ARVO, New Orleans, April 2023. Congratulations Abdul.

VL participated in the Trieste System Optical Sciences Advisory Board at the International Center for Theoretical Physics, Trieste, Italy.

Publication of: 

1. Vivanco-Galván, O.; Morales-Larreategui, G.; Cabrera-Bejarano, A.; Lakshminarayanan, V. Outcome of Ivermectin in Cancer Treatment: Experience in Loja-Ecuador. Nurs. Rep. 2023, 13, 315–326. https:// doi.org/10.3390/nursrep13010030

January 2023

Vengu elected as Foreign Fellow of the National Academy of Sciences, India

Vengu delivered a 8 hour course "Physiological Optics for the Engineer" at Photonics West

Rishav Bharatwaj joined the lab - Welcome Rishav.

December 2022

Publiction of : 

1.M. Tajmirriahi, R. Kafieh, Z. Amini and V. Lakshminarayanan, "A Dual-Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images," in IEEE Transactions on Instrumentation and Measurement, vol. 71, doi: 10.1109/TIM.2022.3189735, 2022.

2.D.K.Pattnaik, A.P.Sahu, V.Lakshminarayanan and Nachieketa K Sharma, Alpha wave of the electroretinogram and iron induced oxidative stress: a model, Acta Biotheoretica,70:2 https://doi.org/10.1007/s10441-021-09426-y, 2022

October 2022

Publication of:

1.A. Gueddana and V.Lakshminarayanan, Double Controlled Quantum phase gate based on three atoms trapped in separate optical cavities, Quantum Information Processing  21:208 https://doi.org/10.1007/s11128-022-03539-0,2022.

2.Manoj R. Naick, Mohammed Abdul Rasheed, Varadharajan Jayakumar,Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan, "Quantum machine learning prediction model for retinal conditions: performance analysis," Proc.SPIE 12227, Applications of Machine Learning 2022, 122270V (3 October2022); doi: 10.1117/12.2633672

September 2022

Publication of: 

1.Y.Jimez, M.J. Rodriguz-Alvarez, D. Malla, V. Lakshminarayanan,  Radiomics, Deep Learning and  Breast cancer detection, in: Artificial Intelligence in Cancer Diagnosis, Volume 2: Breast and Bladder Cancer, ed. A.El-Baz, et al Chapter 12, Pages 12-1-12-61, IOP Press,2022

2.Cueva JH, Castillo D, Espinós-Morató H, Durán D, Díaz P, Lakshminarayanan V. Detection and Classification of Knee Osteoarthritis. Diagnostics. 2022; 12(10):2362. https://doi.org/10.3390/diagnostics12102362

3.V.Lakshminarayanan, H. Kheradfallah, Arya Sarkar, J. Jothi Balaji Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey J. Imaging, 7, 165, 2021. https://doi.org/10.3390/jimaging7090165

4.Lakshminarayanan, V. Jidesh, P. Frontiers in Retinal Image Processing. J. Imaging 2022, 8, 265. https://doi.org/10.3390/ jimaging8100265

August 2022

Publication of:

1.V.Lakshminarayanan, Chamblant Lenses, Astigmatism, and Cylindrical Lenses, Field Guide to Optics Education, Pages 135-139, SPIE Press, Bellingham, WA. 2022.

2.Castillo, D., Cueva, J., Díaz, P., Lakshminarayanan, V. Diagnostic Value of Knee Osteoarthritis Through Self-learning. In: Zambrano Vizuete, M., Botto-Tobar, M., Diaz Cadena, A., Zambrano Vizuete, A. (eds), Lecture Notes in Networks and Systems, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-031-11295-9_17

July 2022

Publication of: V.Lakshminarayanan, H. Kheradfallah, Arya Sarkar, J. Jothi Balaji Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey J. Imaging, 7, 165, 2021. https://doi.org/10.3390/jimaging7090165

May 2022

Hoda successfully defended her thesis and received a dual degree in Vision Science and Systems Design Engineering.  Congratulations Hoda!

Publication of:

1.J. Jothi Balaji,V. Lakshminarayanan, Optic Nerve Head Images by Spectral-Domain Optical Coherence Tomography: The ODTiD Dataset, Clinical Ophthalmology 2021:15 4239–4245

2 J.Jothi Balaji, V. Lakshminarayanan, Should optics be a part of continuing medical education for optometrists? ETOP-2021 Singapore https://www.osapublishing.org/abstract.cfm?uri=ETOP-2021-Th1B.1

3.J.Donnelly, V.Lakshminarayanan, N. Magnani, ETOP Retrospective: An Update, ETOP-2021, Singapore

https://www.osapublishing.org/abstract.cfm?uri=ETOP-2021-Th2A.2

March 2022

Publication of:

1. Rohit, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan, "Does the optic disc ovality index depend on positional changes in myopic eyes?," Proc. SPIE 11941, Ophthalmic Technologies XXXII, 119410M (4 March 2022); doi: 10.1117/12.2610714

2. V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan, "What is the role of magnification correction in the measurement of macular microvascular dimensions in emmetropic eyes?," Proc. SPIE 11941, Ophthalmic Technologies XXXII, 119410L 2022

3.S. Rohit, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan, "Does the optic disc ovality index depend on positional changes in myopic eyes?," Proc. SPIE 11941, Ophthalmic Technologies XXXII, 119410M (4 March 2022); doi: 10.1117/12.2610714

February 2022

Hoda participated in the SPIE Medical Imaging meeting and published:.Hoda Kheradfallah, Janarthanam Jothi Balaji, Varadharajan Jayakumar, Mohammed Abdul Rasheed, Vasudevan Lakshminarayanan, Annotation and Segmentation of Diabetic Retinopathy Lesions: An Explainable AI Application        Proceedings Volume 12033, Medical Imaging 2022: Computer-Aided Diagnosis; 120331X (2022) https://doi.org/10.1117/12.2612576

january 2022

Manoj Naik Joins the lab as a Ph.D. student.  Welcome Manoj!

November/December 2021

 1. Book Review: V. Lakshminarayanan (2021) The handbook of medical image perception and techniques, 2nd edition,  Contemporary Physics, DOI: 10.1080/00107514.2021.2002938

2. D.K.Pattnaik, A.P.Sahu, V.Lakshminarayanan and Nachieketa K Sharma, Alpha wave of the electroretinogram and iron induced oxidative stress: a model, Acta Biotheoretica,70:2 https://doi.org/10.1007/s10441-021-09426-y, 2022

3. V.K.Viekash, J.J.Balji, V. Lakshminarayanan, FAZSeg: New software for the quantification of the foveal avascular zone, Clinical Ophthalmology 2021:15 4817–4827

 October 2021

.1. J. Jothi Balaji,V. Lakshminarayanan, Optic Nerve Head Images by Spectral-Domain Optical Coherence Tomography: The ODTiD Dataset, Clinical Ophthalmology 2021:15 4239–4245

2. J.Jothi Balaji, V. Lakshminarayanan, Should optics be a part of continuing medical education for optometrists? ETOP-2021 Singapore https://www.osapublishing.org/abstract.cfm?uri=ETOP-2021-Th1B.1

3.J.Donnelly, V.Lakshminarayanan, N. Magnani, ETOP Retrospective: An Update, ETOP-2021,

 Singapore  https://www.osapublishing.org/abstract.cfm?uri=ETOP-2021-Th2A.2 

August/September 2021

1. Vengu begins his sabbatical year as a Science and Technology Policy Fellow, Washington DC

2. Book Review: J.Alonso, J.A.Gomez-Pedrero, A.A.Quiringam Modern Ophthalmic Optics, Cambridge University Press, OPN, 32:15, 2021.

Publications:

1. Yuliana Jiménez Gaona, María José Alvarez-Rodriguez Hector,  Espinó Morató,  Darwin Castillo Malla, Vasudevan Lakshminarayanan, DenseNet for breast tumor classification in Mammographic images In: Rojas I., Castillo-Secilla D., Herrera L.J., Pomares H. (eds) Bioengineering and Biomedical Signal and Image Processing. BIOMESIP 2021. Lecture Notes in Computer Science, vol 12940. Springer, Cham. https://doi.org/10.1007/978-3-030-88163-4_16

Papers/posters presented at Optics and Photonics, 2021

1.Asma Eldridi, Amor Gueddana, Vasudevan Lakshminarayanan, "Implementation of Grover's algorithm on the IBMQ: constraints and error assessment," Proc. SPIE 11844, Photonics for Quantum, 1184411; doi: 10.1117/12.2600578, 2021

2.  A. Smitha, P. Jidesh, J. Jothi Balaji, Vasudevan Lakshminarayanan, "Development and validation of a novel automated method for quantification of choroidal thickness in age-related macular degeneration," Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118422E; doi: 10.1117/12.2594557

3. Zahra Sobhaninia, Hajar Danesh, Rahele Kafieh,J.Johti Balaji and Vasudevan Lakshnminarayanan  Determination of foveal avascular zone parameters using a new location-aware deep learning method, Proc. SPIE 11843, Applications of Machine Learning 2021, 1184311; doi: 10.1117/12.2594152, 2021

4.  D. Castillo, J. Macas, R. Samaniego, Y. Jiménez,M. J. Rodríguez-Álvarez.V. Lakshminaryanan, MTS Image Analyzer: A Software Tool To Identify Mesial Temporal Sclerosis In MRI Images, Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 1184215; doi: 10.1117/12.2594199, 2021

5.Yuliana Jiménez Gaona,M.J Rodríguez-Álvarez, Freire Jimmy, Darwin Castillo, Diana Carrión and Vasudevan Lakshminarayanan, Preprocessing Fast Filters and Mass Segmentation for Mammography images, Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 1184213; doi: 10.1117/12.2593939, 2021.

6.D. Castillo, A. Sánchez, J. González, V.Lakshminarayanan, Natural pigment sensor for solar ultraviolet radiation measurement, Organic and Hybrid Sensors and Bioelectronics XIV, Proc. SPIE 11810, 118100E doi: 10.1117/12. 2021.

7. Aditya Chandra Mandal, Abhijeet Phatak, J. Jothi Balaji, Vasudevan Lakshminarayanan, "A deep-learning approach to pupillometry," Proc. SPIE 11843, Applications of Machine Learning 2021, 118431; doi: 10.1117/12.2594315

July 2021

1..S. Yu and V. Lakshminarayanan, Fractal dimension and retinal pathology – a meta-analysis, Applied Sci., 11, 2376. https://doi.org/ 10.3390/app11052376, 2021. 

2.A.Brar, J. Jothi Balaji, V. Jayakumar, A.R. Mohammed, R.Raman, V. Lakshminarayanan, Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis, Clinical Ophthalmology 15 :2573–2581, 2021

3. . H.Leopold, S.Sengupta, A.Singh, V. Lakshminarayanan, Deep Learning on Optical Coherence Tomography for Ophthalmology, in State-of-the-art in neural networks, Volume 1, Chapter 12, Pages 239-269, ed. A. El-Baz, J.S.Suri, Academic Press, NY, 2021. https://doi.org/10.1016/C2019-0-00519-5

June 2021

1. H.Singh, S.Saini, V. Lakshminarayanan, Rapid Classification of Glaucomatous Fundus Images using Transfer Learning Methods, J. Opt. Soc. Am. A, 38:765-774, https://doi.org/10.1364/JOSAA.415395, 2021

2.  I.Ben Slimen, A.Gueddana, V. Lakshminarayanan, Generalization of discrete CNOT quantum walkers: simulation and effect of gate errors, Quantum Information, https://doi.org/10.1142/S0219749921500088, 2021

3. V.Lakshminarayanan, H. Kheradfallah, Arya Sarkar, J. Jothi Balaji ,Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey J. Imaging, 7, 165, 2021. https://doi.org/10.3390/jimaging7090165

May 2021

1. Prof. Amor Gueddana is back in Waterloo for a two and a half month visit! Welcome

2. Vengu elected as Distinguished Fellow of the Optical Society of India

3. Paper accepted in Clin. Ophthalmology: A.Brar, J. Jothi Balaji, V. Jayakumar, A.R. Mohammed, R.Raman, V. Lakshminarayanan, Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis.

4. Publication of :

1.I.Ben Slimen, A.Gueddana, V. Lakshminarayanan, Generalization of discrete CNOT quantum walkers: simulation and effect of gate errors, Int. J. Quantum Information , https://doi.org/10.1142/S021974992150008

2.. A. Smitha, P. Jidesh, J. Jothi Balaji, Vasudevan Lakshminarayanan, "Development and validation of a novel automated method for quantification of choroidal thickness in age-related macular degeneration," Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118422E; doi: 10.1117/12.2594557

March 2021

1. Paper accepted: I.Ben Slimen, A.Gueddana, V. Lakshminarayanan, Generalization of discrete CNOT quantum walkers: simulation and effect of gate errors, Quantum Information, In press, 2021 

2. The following papers/posters were presented at Photonics West (online):

1. J. Jothi Balaji, A. Chavan, G. Mago, V. Lakshminarayanan, Is there a relationship between retinal blood vessel characteristics and ametropia? Ophthalmic Technologies XXXI, edited by Daniel X. Hammer, Karen M. Joos, Daniel V. Palanker, Proc. of SPIE Vol. 11623, 116231Z doi: 10.1117/12.257698, 2021

2.A. Chavan, G. Mago, J. Jothi Balaji and V. Lakshminarayanan, A New Method for Quantification of Retinal Blood Vessel Characteristics, Proc. SPIE 11623, Ophthalmic Technologies XXXI, 1162320, doi: 10.1117/12.2576984, 2021

3. N. Gudapati, S.Swedha, J.Jothi Balaji, V. Lakshminarayanan, Is the optic disk tilt different in myopia? Proc. SPIE 11623, Ophthalmic Technologies XXXI, 1162328,  doi: 10.1117/12.2578657, 2021

4.Hardit Singh, Simarjit Saini, Vasudevan Lakshminarayanan, Transfer learning methods for classification of COVID-19 chest x-ray images, Proc. SPIE 11634, Multimodal Biomedical Imaging XVI, 116340R (5 March 2021); doi: 10.1117/12.2577714, 2021.

5.S. Rohit, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan, "Does the optic disc ovality index depend on positional changes in myopic eyes?," Proc. SPIE 11941, Ophthalmic Technologies XXXII, 119410M (4 March 2022); doi: 10.1117/12.2610714

6.  V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan, "What is the role of magnification correction in the measurement of macular microvascular dimensions in emmetropic eyes?," Proc. SPIE 11941, Ophthalmic Technologies XXXII, 119410L 2022

3. Publication of: :S. Yu and V. Lakshminarayanan, Fractal dimension and retinal pathology – a meta-analysis, Applied Sci., 11, 2376. https://doi.org/ 10.3390/app11052376, 2021.

4. VL is a finalist for the AAAS Science and Technology Policy fellowship.

February 2021

1 VL elected Fellow of the Royal Society of the Arts

2. The following papers/posters were presented at SPIE Medical Imaging meeting (online)::

1. H. Singh, S. S. Saini, and V. Lakshminarayanan, Real or fake? Fourier Analysis of Generative Adversarial Network Fundus Images, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications edited by Thomas M. Deserno, Brian J. Park, Proc. of SPIE Vol. 11601, 116010H, http://dx.doi.org/10.1117/12.2581078

2. S.Sengupta, A.Singh, V. Lakshminarayanan, EdgeWaveNet: Edge Aware Residual Wavelet GAN for OCT Image Denoising,  Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications edited by Thomas M. Deserno, Brian J. Park, Proc. of SPIE Vol. 11601, 116010I,doi: 10.1117/12.2581110, 2021

3. A.Singh, S.Sengupta, V.Jayakumar, V. Lakshminarayanan, Uncertainty aware and explainable diagnosis of retinal disease Proc. SPIE 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 116010J (15 February 2021); doi: 10.1117/12.2581362

3. Publication of: :

 1. V. Lakshminarayanan,Automated Diagnosis of Retinal Diseases: New Results Using Deep Learning, Libro de Actos CMAE 2020, (Proceedings of the Congress of Applied and Educational Mathematics CMAE 2020) eds. YCJ Gaona, D. P.C. Malla, Pages106-111,UTPL, Loja, Ecuador, 2021 (invited).

2..D.Castillo, V. Lakshminarayanan, M. Rodrigez-Alvarez, MR images, Brain Lesions and Deep Learning, Appl. Sci. 2021, 11, 1675. https://doi.org/10.3390/app11041675, 2021.

 3.S.Rfifi, A.Maafiri, K.Chougdali and A.Gueddana, "A new efficient model of quantum image cryptography based on sampled GNEQR storage presentation", J. Korean Phys. Soc. 78, 618–626 (2021).

4. D. Castillo, J. Macas, R. Samaniego, Y. Jiménez,M. J. Rodríguez-Álvarez.V. Lakshminaryanan, MTS Image Analyzer: A Software Tool To Identify Mesial Temporal Sclerosis In MRI Images, Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 1184215; doi: 10.1117/12.2594199, 2021

January 2021

1 We welcome 2 new master's students - Hoda Kheradfallah and Damoon Azarpazhooh. All the best!
2. Amitojdeep Singh Brar successfully defended his M.Sc. thesis "Explainable AI for retinal OCT diagnosis". Congratulations Amitoj.  Amitoj will continue working with us as a Visiting researcher!

3. VL book review, https://www.osa-opn.org/home/book_reviews/2020/1020/modern_ophthalmic_optics/

4.  Welcome two new undergraduate co-op students:  Cedric Chieukam and Josh Kazi

December 2020

1. Mona Naseer Zanouzi successfully defended her M.Sc. thesis "Cataract Grading using Smartphone Images". Congratulations Mona.

November 2020

1. Publication of :Y.Jiménez, M.J.Rodríguez, V.Lakshminarayanan, Deep Learning Based Computer-Aided Systems for Breast Cancer  Imaging : A Critical Review,  Appl. Sci., 10, 8298; doi:10.3390/app10228298, 2020 

2. Publication of: R.R.Sudhir, H.Farhath, M.Rathore, M.K.Parthasarathy, P.Padmanabhan, V. Lakshminarayanan, Effect of refractive surgery on blur thresholds, Ind. J. Ophthalmology,68:2998-3001.2020

October 2020

1. Received Best Paper Award : A.  Singh,  S.  Sengupta,  J  J  Balaji,  V  Jayakumar,  MA  Rasheed,  JS  Zelek,  and  V Lakshminarayanan , “What is the optimal attribution method for explainable ophthalmic  disease  classification?”   International  Workshop  on  Ophthalmic  Medical Image Analysis,  Paper published In: Fu H., Garvin M.K., MacGillivray T., Xu Y., Zheng Y. (eds) Ophthalmic Medical Image Analysis. OMIA 2020. Lecture Notes in Computer Science, vol 12069. Springer, Cham. , pp. 32–41, 2020. https://doi.org/10.1007/978-3-030-63419-3_4

2. Paper presented :  S. Sengupta, A Wong, A Singh, J Zelek, V Lakshminarayanan, "DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-resolution"  In  International  Workshop  on  Ophthalmic  Medical Image Analysis,  Paper published in: Fu H., Garvin M.K., MacGillivray T., Xu Y., Zheng Y. (eds) Ophthalmic Medical Image Analysis. OMIA 2020. Lecture Notes in Computer Science, vol 12069. Springer, Cham. pp. 21–31, https://doi.org/10.1007/978-3-030-63419-3_ 2020

3. VL Book Review:  https://www.osa-opn.org/home/book_reviews/2020/1020/modern_ophthalmic_optics/

September 2020

1New Co-Op interns have joined the lab for this term: Sam Yu and Suyog Joshi .  Welcome guys!

2VL appointed to editorial board of SN -Computer Science (Springer)

3Publication of : P.L.Li, C.O’Neil, S.Saberi, K.Sinder, K.Wang, B. Tan, Z.Hosseinaee, K.Bizheva, and V.Lakshminarayanan  Deep learning algorithm for inferring retinal capillary flow maps from structural images Proc. SPIE 11511, Applications of Machine Learning 2020, 1151109; doi: 10.1117/12.2568629

4.Paper accepted in Indian Journal of Ophthalmology: R.R.Sudhir, H.farhath, M.Rathore, M.K.Parthasarathy, P.Padmanabhan, V. Lakshminarayanan, Effect of refractive surgery on blur thresholds, Ind. J. Ophthalmology, in press, 2020

August 2020

1. Two papers have been accepted for presentation at  the 23rd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION  MICCAI OMIA Workshop, Lima Peru, 2020 !  They are:

S.Sengupta, A.Wong, A.Singh, J.Zelek, V. Lakshminaryanan, DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-resolution of Retinal Fundus Images

S.Singh, S.Sengupta, J.Jothi Balaji, A.R.Mohammed, I.Faruq, V.Jayuakumar, J.Zelke, V. Lakshminarayanan, What is the optimal attribution method for ophthalmic disease classification? 

2. VL has been appointed to the Editorial Board of BMC Ophthalmology, Springer and as editor in the Optics and Photonics Section of MDPI Applied Sciences.

3. At the SPIE Optics and Photonics meeting, the following papers were delivered (virtually of course!):

1.N.Barritt, L.Pilon, A.MacLean, A.Lin, A.Cole,I.Faruq, V,Lakshminarayanan, "Development and testing of a stabilization and image processing system for improvement of mobile fundus camera image quality," Proc. SPIE 11483, Novel Optical Systems, Methods, and Applications XXIII, 114830E, doi: 10.1117/12.2568116, 2020

2.Q.Liu, G.Jiang, S.Sengupta, V.Lakshminarayanan, Can we make a more efficient U-net? Proc. SPIE 11511, Applications of Machine Learning 2020, 115110I doi: 10.1117/12.2567861, 2020.  

3.A.Singh, A.R.Mohammed, J. Zelek, V.Lakshminarayanan,  Interpretation of deep learning using attributions: application to ophthalmic diagnosis, Proc. SPIE 11511, Applications of Machine Learning 2020, 115110A; doi: 10.1117/12.2568631, 2020

4.V. Lakshminarayanan, "Color mixing: the history of the color disk," Proc. SPIE 11481, Light in Nature VIII, 1148104, doi: 10.1117/12.2570636, 2020

5. A.R.Mohammed, C.Le, R.Narayanan, K.Raahemifar, V.Lakshminarayanan, "Hyperacuity thresholds and gap functions using an adaptive staircase method," Proc. SPIE 11481, Light in Nature VIII, 1148106 doi:10.1117/12.2566771 2020.

6.A.Agarwal, J.Balaji J., R.Raman, V. Lakshminarayanan, "The Foveal Avascular Zone Image Database (FAZID)," Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151027; doi: 10.1117/12.2567580, 2020

4. VL published a book review: .  https://www.osaopn.org/home/book_reviews/2020/0820/principles_of_medical_imaging_for_engineers/  Optics and Photonics News, August 2020.

5.  Publication of  Light in Nature VIII, Eds. V. Lakshminaryanan, K. Creath and J.Shaw, SPIE Optical Engineering and Applications, PROCEEDINGS VOLUME# 11481, 2020

June 2020

1. Mohana Kuppuswamy Parthasarathy received her Ph.D. degree at the virtual convocation.  She also received the Pearson medal for outstanding Ph.D. dissertation from the Faculty of Science.  This the third such medal given to a lab alumnus.  Congratulations Mohana!

2. Paper accepted for publication in a MDPI Journal of Imaging, Special Issue: "Explainable deep learning models in medical image analysis"

May 2020

1. Sourya Sengupta successfully defended his thesis “Deep Generative Modeling Based Retinal Image Synthesis’ with flying colors.  Congratulations Sourya! 

2. At the Graduate Research Conference, University of Waterloo lab members presented their research:

Abdul Rasheed Mohammed: Hyperacuity Thresholds and Gap Functions using an Adaptive Staircase Method

Mona Nasir Zanouzi: Nuclear Cataract Grading using Slit-Lamp Images

Sourya Sengupta: Machine Learning Applications in Ophthalmic Image Analysis

Amitojdeep Singh Brar: Interpretability of Deep Learning For Ophthalmic Diagnosis

April 2020

1. Invited talk, (on line): A. Gueddana, V.Lakshminarayanan, "CnNOT gates for quantum computers using photonic devices," Proc. SPIE 11389, Micro- and Nanotechnology Sensors, Systems, and Applications XII, 113890D; doi: 10.1117/12.2556223, 2020. Anaheim, CA.

2. Publication: V. Lakshminarayanan, Hamilton, Quaternions and the Broome Bridge: an act of mathematical vandalism, IEEE History Newsletter

March 2020

1.  Dr. Amor Gueddana, Assistant Professor, Green & Smart Communication Systems Lab, Gres'Com, Engineering School of Communication of Tunis, Sup'Com, University of Carthage, Tunisia starts his three month long visit. 

2. Paper to be presented at the APS March meeting, Denver cancelled due to COVID.  However, the “talk” is available on the APS march meeting website. S.Soufargi,I.Ben Slimen, A.Gueddana, V.Lakshminarayanan, “CNOT gates for Implementing Random Quantum Walks” 

February 2020

1. The following papers/posters were presented at Photonics West, San Francisco:

T. Gulati, S.Sengupta, V. Lakshminarayanan, "Application of an enhanced deep super-resolution network in retinal image analysis," Proc. SPIE 11218, Ophthalmic Technologies XXX, 112181K; doi: 10.1117/12.2543791, 2020

A.Agarwal, J. J.Balaji, V.Lakshminarayanan, "A new technique for estimating the foveal avascular zone dimensions," Proc. SPIE 11218, Ophthalmic Technologies XXX, 112181R; doi: 10.1117/12.2543906, 2020

 J.J. Balaji, A.Agarwal, R.Raman, V.Lakshminarayanan, "Comparison of foveal avascular zone in diabetic retinopathy, high myopia, and normal fundus images," Proc. SPIE 11218, Ophthalmic Technologies XXX, 112181O; doi: 10.1117/12.2544817, 2020.

 U.Bamba, D. Pandey, V. Lakshminarayanan, "Classification of brain lesions from MRI images using a novel neural network," Proc. SPIE 11232, Multimodal Biomedical Imaging XV, 112320K; doi: 10.1117/12.2543960, 2020.

VL delivered an eight hour short course: Physiological Optics for the Optical Engineer

2.   S. Sengupta presented a poster paper at Houston, TX SPIE Medical Imaging conference:

S.Sengupta,A.Athwale,T.Gulati,J.Zelek, V. Lakshminarayanan, "FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for Fundus Image Synthesis," Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 113132M; doi: 10.1117/12.2549869

3. VL participated in the Trieste System Optical Sciences Advisory Board at the International Center for Theoretical Physics, Trieste, Italy.

4. Amor Guedddana and VL presented a poster at the Winter College on Quantum Optics and Quantum Computing, ICTP, Trieste

5. FAZID: The Foveal Avascular Zone Image Database went online.   This public dataset public dataset of retinal fundus images consists of a total of 304 different images classified into: Diabetic (107), Myopic (109) and Normal (88) eyes. For each type of image, clear and manually segmented by a clinical expert (ground truth) are available at https://www.openicpsr.org/openicpsr/project/117543/version/V1/view;jsessionid=F513730081246E52D6F2AC4D10E7F528

January 2020: 

1. VL delivered plenary talk at the International conference on applied mathematics, computation and education, Loja, Ecuador.

2.  VL Took part in the Leadership meeting of the American Physical Society, Washington DC and also did    Congressional visits; Started a three year term on the Executive Committee of the Forum on International Physics.

3.  “FunSyn-Net: Enhanced Residual Variational Auto-encoder and Image-to-Image Translation Network for Fundus Image Synthesis” database went online.  This is a completely artificially generated dataset of fundus images with their corresponding blood vessel annotation https://www.openicpsr.org/openicpsr/project/117290/version/V1/view

4. S.Sengupta, A.Singh, H.Leopold, T.Gulati and V. Lakshminarayanan, "Ophthalmic Diagnosis Using Deep Learning with Fundus Images - A Critical review", paper got accepted at Artificial Intelligence in Medicine https://doi.org/10.1016/j.artmed.2019.101758, 2020.