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Hire Anup T.

Canada

Machine Learning | Life Sciences | Engineering | Neurotechnology | Research

Profile Summary

I am a transdisciplinary scientist with experience and expertise in Engineering (Chemical, Biomedical), Life Sciences (Neuroscience, Stem Cells), and Data Science (Machine learning, Deep learning, Reinforcement learning). My passion lies in deconstructing problems through the different lenses afforded by my multi-disciplinary training and developing innovative solutions. I enjoy lively discussions and engaging collaborations with those that think differently than me, whether due to differences in training, expertise or opinion.

Subject Matter Expertise

• ★ Biotechnology & Bioengineering
• ★ Machine Learning
• ★ Deep Learning
• ☆ Materials Science & Engineering
• ☆ Biomaterials
• ☆ Data Analysis
• ☆ Data Collection
• ☆ Artificial Intelligence
• ☆ Applied Mathematics
• ☆ Tissue Engineering
• ☆ Python
• ☆ Neurology
• ☆ Stroke & Cerebrovascular Disease

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, General Proofreading & Editing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML

Work Experience

Postdoctoral Fellow

University of Calgary

- Present

Education

BASc (Chemical Engineering)

University of Waterloo

- Present

PhD (Institute of Biomaterials and Biomedical Engineering)

University of Toronto

- Present

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Anup Tuladhar, Alejandro Gutierrez, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert(2023). Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients . International Journal of Computer Assisted Radiology and Surgery. Springer Science and Business Media {LLC}

Anup Tuladhar, Raissa Souza, Pauline Mouches, Matthias Wilms, Sönke Langner, Nils Daniel Forkert(2022). An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction . Journal of the American Medical Informatics Association. 30. (1). p. 112--119. Oxford University Press ({OUP})

Anup Tuladhar, Jasmine Moore, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert(2022). Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System . Neuroinformatics. Springer Science and Business Media {LLC}

Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert(2021). Modeling Neurodegeneration in silico With Deep Learning . Frontiers in Neuroinformatics. 15. Frontiers Media {SA}

Anup Tuladhar, Nagesh Subbanna, Matthias Wilms, Nils Daniel Forkert (2021). An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks . Sensors.

Anup Tuladhar, Lo Vercio, Lucas, Kimberly Amador, Jordan J Bannister, Sebastian Crites, Alejandro Gutierrez, M. Ethan MacDonald, Jasmine Moore, Pauline Mouches, Deepthi Rajashekar, et al.(2020). Supervised machine learning tools: a tutorial for clinicians . Journal of Neural Engineering. 17. (6). p. 062001. {IOP} Publishing

Tuladhar, A., Gill, S., Ismail, Z., Forkert, N.D.(2020). Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling . Journal of Biomedical Informatics. 106.

Anup Tuladhar, Serena Schimert, Deepthi Rajashekar, Helge Kniep, Jens Fiehler, Nils Daniel Forkert(2020). Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks . IEEE Access. 8. p. 94871--94879. Institute of Electrical and Electronics Engineers ({IEEE})

Tuladhar, A., Obermeyer, J.M., Payne, S.L., Siu, R.C.W., Zand, S., Morshead, C.M., Shoichet, M.S.(2020). Injectable hydrogel enables local and sustained co-delivery to the brain: Two clinically approved biomolecules, cyclosporine and erythropoietin, accelerate functional recovery in rat model of stroke . Biomaterials. 235.

Payne, S.L., Tuladhar, A., Obermeyer, J.M., Varga, B.V., Teal, C.J., Morshead, C.M., Nagy, A., Shoichet, M.S.(2019). Initial cell maturity changes following transplantation in a hyaluronan-based hydrogel and impacts therapeutic success in the stroke-injured rodent brain . Biomaterials. 192. p. 309-322.

Obermeyer, J.M., Tuladhar, A., Payne, S.L., Ho, E., Morshead, C.M., Shoichet, M.S.(2019). Local Delivery of Brain-Derived Neurotrophic Factor Enables Behavioral Recovery and Tissue Repair in Stroke-Injured Rats . Tissue Engineering - Part A. 25. (15-16). p. 1175-1187.

Tuladhar, A., Payne, S.L., Shoichet, M.S.(2018). Harnessing the potential of biomaterials for brain repair after stroke . Frontiers in Materials. 5.

Tuladhar, A., Shoichet, M.S.(2018). Biomaterials driving repair after stroke . Nature Materials. 17. (7). p. 573-574.

Pakulska, M.M., Donaghue, I.E., Obermeyer, J.M., Tuladhar, A., McLaughlin, C.K., Shendruk, T.N., Shoichet, M.S.(2016). Encapsulation-free controlled release: Electrostatic adsorption eliminates the need for protein encapsulation in PLGA nanoparticles . Science Advances. 2. (5).

Tuladhar, A., Morshead, C.M., Shoichet, M.S.(2015). Circumventing the blood-brain barrier: Local delivery of cyclosporin A stimulates stem cells in stroke-injured rat brain . Journal of Controlled Release. 215. p. 1-11.

Caicco, M.J., Cooke, M.J., Wang, Y., Tuladhar, A., Morshead, C.M., Shoichet, M.S.(2013). A hydrogel composite system for sustained epi-cortical delivery of Cyclosporin A to the brain for treatment of stroke . Journal of Controlled Release. 166. (3). p. 197-202.

Sokolenko, S., George, S., Wagner, A., Tuladhar, A., Andrich, J.M.S., Aucoin, M.G.(2012). Co-expression vs. co-infection using baculovirus expression vectors in insect cell culture: Benefits and drawbacks . Biotechnology Advances. 30. (3). p. 766-781.

Takeuchi, T., Puntous, T., Tuladhar, A., Yoshimoto, S., Shirama, A.(2011). Estimation of mental effort in learning visual search by measuring pupil response . PLoS ONE. 6. (7).

Takeuchi, T., Tuladhar, A., Yoshimoto, S.(2011). The effect of retinal illuminance on visual motion priming . Vision Research. 51. (10). p. 1137-1145.

CONFERENCE PAPER

Anup Tuladhar, Samuel Robertson, Deepthi Rajashekar, Nils D. Forkert(2022). Stroke lesion localization in 3D MRI datasets with deep reinforcement learning . Medical Imaging 2022: Computer-Aided Diagnosis. {SPIE}

Anup Tuladhar, Christopher Nielsen, Nils D. Forkert(2022). Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks . Ophthalmic Medical Image Analysis. p. 183--192. Springer International Publishing

Anup Tuladhar, Lakshay Tyagi, Raissa Souza, Nils Daniel Forkert(2022). Federated Learning Using Variable Local Training for Brain Tumor Segmentation . Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. p. 392--404. Springer International Publishing

Anup Tuladhar, Raissa Souza, Pauline Mouches, Matthias Wilms, Lakshay Tyagi, Nils Daniel Forkert(2022). Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets . Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. p. 420--432. Springer International Publishing

Ho, E., Obermeyer, J.M., Tuladhar, A., Payne, S.L., Morshead, C.M., Shoichet, M.S.(2019). Non-invasive, epicortical delivery of brain-derived neurotrophic factor for recovery after stroke . Transactions of the Annual Meeting of the Society for Biomaterials and the Annual International Biomaterials Symposium. 40. p. 382.

BOOK CHAPTER

Anup Tuladhar, Deepthi Rajashekar, Nils Daniel Forkert(2022). Distributed Learning in Healthcare . Trends of Artificial Intelligence and Big Data for E-Health. p. 183--212. Springer International Publishing

Tuladhar, A., Mitrousis, N., Führmann, T., Shoichet, M.S.(2015). Central Nervous System . Translational Regenerative Medicine. p. 415-435.

Anup Tuladhar, Nikolaos Mitrousis, Tobias Führmann, Molly S. Shoichet(2015). Central Nervous System . Translational Regenerative Medicine. p. 415--435. Elsevier