Research news

Paper published in Frontiers in Neuroinformatics

13 February 2017

The journal Frontiers in Neuroinformatics has published "Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience," by MII student Nicholas J. Matiasz. Co-authors of this article include MII student Justin Wood, MII faculty member William Hsu, and collaborators Wei Wang and Alcino J. Silva.

Paper accepted to Computers in Biology and Medicine

09 January 2017

A paper by MII student Shiwen Shen titled "A Bayesian model for estimating multi-state disease progression" was accepted for publication in the journal Computers in Biology and Medicine.

Finalist best student paper in ICPR2016

21 December 2016

MII stu­dent Johnny Ho's paper, tit­led "A Tem­po­ral Deep Lear­ning Approach for MR Per­fusion Para­me­ter Esti­ma­tion in Stro­ke," was the fina­list in best IBM track5 stu­dent paper award.

MII student wins RSNA Trainee Research Prize

16 September 2016

MII stu­dent Kart­hik Sarma has won a 2016 RSNA Trai­nee Research Prize for his pos­ter tit­led "An Inves­ti­ga­tio­nal Patch-­ba­sed Con­vo­lu­tio­nal Neu­ral Network Model for the Detec­tion of Cli­nically Sig­ni­ficant Pros­tate Cancer using Mul­ti­pa­ra­met­ric MRI."

3 students to present at RSNA 2016

26 July 2016

Three MII stu­dents, Johnny Ho, Edgar Rios, and Kart­hik Sar­ma, were accep­ted to pre­sent at the 2016 Radio­lo­gical Society of North Ame­rica annual mee­ting in November.

Paper accepted to Artificial Intelligence in Medicine

25 July 2016

A paper by MII student Panayiotis Petousis titled "Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network" was accepted for publication in Artificial Intelligence in Medicine.

Paper accepted at ICPR 2016

12 July 2016

MII stu­dent Johnny Ho's paper, tit­led "A Tem­po­ral Deep Lear­ning Approach for MR Per­fusion Para­me­ter Esti­ma­tion in Stro­ke," was accep­ted to the 2016 Inter­na­tio­nal Con­fe­rence on Pat­tern Recognition.