Characterization of biological processes through automated image analysis. by Rittscher, J

Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping by Ali, S, Rittscher, J

Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract by Ali, S, Rittscher, J

Guiding random particles by deterministic search by Sullivan, J, Rittscher, J

An integral criterion for detecting boundary edges and textured regions by Rittscher, J, Sullivan, J

Semantic filtering through deep source separation on microscopy images by Javer, A, Rittscher, J

Global probabilistic models for enhancing segmentation with convolutional networks by Fan, M, Rittscher, J

Crowd segmentation through emergent labeling by Tu, P, Rittscher, J

Artificial intelligence for colonoscopic polyp detection: High performance versus human nature by East, JE, Rittscher, J

Monitoring cardiomyocyte motionin real time through image registration and time series analysis by Liu, X, Iyengar, S, Rittscher, J

Multi-class object layout with unsupervised image classification and object localization by Lim, S, Doretto, G, Rittscher, J

Optimal pose for face recognition by Liu, X, Chen, T, Rittscher, J

Computing phagocytosis index for high-throughput applications by Sebastian, T, Rittscher, J, Yu, L

Towards the automatic analysis of complex human body motions by Rittscher, J, Blake, A, Roberts, S

Simultaneous estimation of segmentation and shape by Rittscher, J, Tu, P, Krahnstoever, N

Coupled minimum-cost flow cell tracking. by Padfield, D, Rittscher, J, Roysam, B

Quantitative biological studies enabled by robust cell tracking by Padfield, D, Rittscher, J, Roysam, B

Coupled minimum-cost flow cell tracking by Padfield, D, Rittscher, J, Roysam, B

Methods for monitoring cellular motion and function by Padfield, D, Rittscher, J, Roysam, B

Multi-target tracking using hybrid particle filtering by Rittscher, J, Krahnstoever, N, Galup, L