Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration
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Joseph A. Izatt | Kris Hauser | George Konidaris | Brenton Keller | Anthony N. Kuo | Mark Draelos | Kevin C. Zhou | Ruobing Qian | Kevin C Zhou | G. Konidaris | Kris K. Hauser | B. Keller | J. Izatt | Ruobing Qian | A. Kuo | M. Draelos
[1] Mark J Mannis,et al. Corneal Graft Rejection 10 Years After Penetrating Keratoplasty in the Cornea Donor Study , 2014, Cornea.
[2] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[3] Ronald R Krueger,et al. Outcomes of Deep Anterior Lamellar Keratoplasty for Keratoconus: Learning Curve and Advantages of the Big Bubble Technique , 2012, Cornea.
[4] Iulian Iordachita,et al. A Submillimetric 3-DOF Force Sensing Instrument With Integrated Fiber Bragg Grating for Retinal Microsurgery , 2014, IEEE Transactions on Biomedical Engineering.
[5] Nabil Simaan,et al. Evaluation of microsurgical tasks with OCT-guided and/or robot-assisted ophthalmic forceps. , 2015, Biomedical optics express.
[6] Ashutosh Tewari,et al. Laparoscopic and robot assisted radical prostatectomy: establishment of a structured program and preliminary analysis of outcomes. , 2002, The Journal of urology.
[7] Byron Boots,et al. Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning , 2018, ICLR.
[8] Massimo Busin,et al. Anterior segment optical coherence tomography-guided big-bubble technique. , 2013, Ophthalmology.
[9] Daniel Glozman,et al. Image-Guided Robotic Flexible Needle Steering , 2007, IEEE Transactions on Robotics.
[10] Sergey Levine,et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection , 2016, Int. J. Robotics Res..
[11] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[12] Sergey Levine,et al. End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..
[13] Marco Caversaccio,et al. Instrument flight to the inner ear , 2017, Science Robotics.
[14] Colm McAlinden,et al. Subjective quality of vision before and after cataract surgery. , 2012, Archives of ophthalmology.
[15] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[16] Yuankai K. Tao,et al. Microscope-integrated intraoperative OCT with electrically tunable focus and heads-up display for imaging of ophthalmic surgical maneuvers. , 2014, Biomedical optics express.
[17] R. Bellman. A Markovian Decision Process , 1957 .
[18] Tom Schaul,et al. Deep Q-learning From Demonstrations , 2017, AAAI.
[19] Cameron N. Riviere,et al. Three-dimensional accuracy assessment of eye surgeons , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[20] Zerui Wang,et al. Toward Semi-autonomous Cryoablation of Kidney Tumors via Model-Independent Deformable Tissue Manipulation Technique , 2018, Annals of Biomedical Engineering.
[21] Mohammed Anwar,et al. Big‐bubble technique to bare Descemet's membrane in anterior lamellar keratoplasty , 2002, Journal of cataract and refractive surgery.
[22] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[23] Guy Lever,et al. Deterministic Policy Gradient Algorithms , 2014, ICML.
[24] R Bellman,et al. On the Theory of Dynamic Programming. , 1952, Proceedings of the National Academy of Sciences of the United States of America.
[25] Joseph A. Izatt,et al. Real-time corneal segmentation and 3D needle tracking in intrasurgical OCT , 2018, Biomedical optics express.
[26] E A Archila,et al. Deep lamellar keratoplasty dissection of host tissue with intrastromal air injection. , 1984, Cornea.
[27] Blake Hannaford,et al. Semi-autonomous simulated brain tumor ablation with RAVENII Surgical Robot using behavior tree , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[28] Axel Krieger,et al. Semi-autonomous electrosurgery for tumor resection using a multi-degree of freedom electrosurgical tool and visual servoing , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[29] Pieter Abbeel,et al. Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations , 2010, 2010 IEEE International Conference on Robotics and Automation.
[30] S. Farsiu,et al. Live volumetric (4D) visualization and guidance of in vivo human ophthalmic surgery with intraoperative optical coherence tomography , 2016, Scientific Reports.
[31] Gregory D. Hager,et al. Motion generation of robotic surgical tasks: Learning from expert demonstrations , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[32] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[33] Hcm Thijs Meenink. Vitreo-retinal eye surgery robot : sustainable precision , 2011 .
[34] Allison M. Okamura,et al. 3-D Ultrasound-Guided Robotic Needle Steering in Biological Tissue , 2014, IEEE Transactions on Biomedical Engineering.
[35] Cameron N. Riviere,et al. Micron: An Actively Stabilized Handheld Tool for Microsurgery , 2012, IEEE Transactions on Robotics.
[36] Pieter Abbeel,et al. Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[37] James A. Young,et al. Early Experience with Telemanipulative Robot-Assisted Laparoscopic Cholecystectomy Using da Vinci , 2002, Surgical laparoscopy, endoscopy & percutaneous techniques.
[38] Ron Alterovitz,et al. High-Frequency Replanning Under Uncertainty Using Parallel Sampling-Based Motion Planning , 2015, IEEE Transactions on Robotics.
[39] G. Ripandelli,et al. Optical coherence tomography. , 1998, Seminars in ophthalmology.
[40] David Silver,et al. Deep Reinforcement Learning with Double Q-Learning , 2015, AAAI.
[41] Jin Seob Kim,et al. Nonholonomic Modeling of Needle Steering , 2006, Int. J. Robotics Res..
[42] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[43] Sergey Levine,et al. Trust Region Policy Optimization , 2015, ICML.
[44] Peter Kazanzides,et al. An image-directed robotic system for precise orthopaedic surgery , 1994, IEEE Trans. Robotics Autom..
[45] Jin U. Kang,et al. Active tremor cancellation by a "smart" handheld vitreoretinal microsurgical tool using swept source optical coherence tomography. , 2012, Optics express.
[46] Patrick S. Jensen,et al. Surgical Forces and Tactile Perception During Retinal Microsurgery , 1999, MICCAI.
[47] Marcin Andrychowicz,et al. Overcoming Exploration in Reinforcement Learning with Demonstrations , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[48] D F P Larkin,et al. Corneal Transplantation: The Forgotten Graft , 2004, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.
[49] Welch Bl. THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .
[50] A. Farmery,et al. First-in-human study of the safety and viability of intraocular robotic surgery , 2018, Nature Biomedical Engineering.
[51] H. Dua,et al. Outcomes of deep anterior lamellar keratoplasty following successful and failed ‘big bubble’ , 2011, British Journal of Ophthalmology.
[52] W. R. Buckland,et al. Contributions to Probability and Statistics , 1960 .
[53] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[54] Stefan Schaal,et al. Robot Learning From Demonstration , 1997, ICML.
[55] Thomas Gaujoux,et al. Long-term results of deep anterior lamellar versus penetrating keratoplasty. , 2012, Ophthalmology.
[56] Ryan S. Decker,et al. Supervised autonomous robotic soft tissue surgery , 2016, Science Translational Medicine.
[57] C.N. Riviere,et al. Static and dynamic accuracy of vitreoretinal surgeons , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[58] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[59] A. Hofman,et al. Distribution of central corneal thickness and its association with intraocular pressure: The Rotterdam Study. , 1997, American journal of ophthalmology.
[60] Anthony N Kuo,et al. Needle Depth and Big-Bubble Success in Deep Anterior Lamellar Keratoplasty: An Ex Vivo Microscope-Integrated OCT Study , 2016, Cornea.
[61] Sergey Levine,et al. Collective robot reinforcement learning with distributed asynchronous guided policy search , 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[62] Martin Culjat,et al. FEASIBILITY STUDY OF INTRAOCULAR ROBOTIC SURGERY WITH THE da VINCI SURGICAL SYSTEM , 2008, Retina.
[63] Susanne Binder,et al. FEASIBILITY OF INTRASURGICAL SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY , 2011, Retina.
[64] Martin A. Riedmiller,et al. Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards , 2017, ArXiv.