Malone Center researchers present at MICCAI 2018
Several researchers from the Johns Hopkins Malone Center for Engineering in Healthcare presented peer reviewed papers at MICCAI 2018, the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, held from September 16 – 20 in Granada, Spain.
The annual MICCAI conference attracts world renowned biomedical scientists, engineers, and clinicians from a wide range of disciplines associated with medical imaging and computer assisted intervention. The conference series included three days of oral presentations, poster sessions, and keynote lectures. MICCAI 2018 also included satellite events (workshops, tutorials, and challenges) on the days preceding and following the conference.
Malone researchers presented at both the main conference and at specialized satellite events. Additionally, they contributed to organizing efforts for the conference. Anand Malpani, assistant research scientist in the Malone Center, co-organized a satellite workshop event titled “OR 2.0 Context Aware Operating Theaters.” The workshop included panel discussions and presentations related to the topic of surgical robotic tools and digitally enhanced operating theaters.
The researchers selected to represent Johns Hopkins at MICCAI, along with their research titles, were:
Jeff Craley, Emily Johnson, Archana Venkataraman
“A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models”
Rob DiPietro, Gregory D. Hager
“Unsupervised Learning for Surgical Motion by Learning to Predict the Future”
Niharika Shimona D’Souza, Mary Beth Nebel, Nicholas Wymbs, Stewart Mostofsky, Archana Venkataraman
“A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data”
Anand Malpani, Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, and S. Swaroop Vedula
“Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery”
Anand Malpani, Saranga Arora, S. Swaroop Vedula, C. C. Grace Chen, and Gregory D. Hager
“Crowdsourcing Surgical Activity Summaries for Phase Recognition”
Naresh Nandakumar, Niharika S. D’Souza, Jeff Craley, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
“Defining Patient Specific Functional Parcellations for Lesional Cohorts via Markov Random Fields”
Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor
“Endoscopic Navigation in the Absence of CT Imaging”