Nishant Ravikumar

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

A Divide-and-Conquer Approach towards Understanding Deep Networks (2019) Fu W, Breininger K, Schaffert R, Ravikumar N, Maier A Conference contribution, Original article Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics (2019) Denzinger F, Wels M, Ravikumar N, Breininger K, Reidelshöfer A, Eckert J, Sühling M, et al. Conference contribution, Original article Local topology preservation for vascular centerline matching using a hybrid mixture model (2019) Bayer S, Zhai Z, Strumia M, Tong X, Gao Y, Staring M, Stoel B, et al. Conference contribution, Conference Contribution Registration of vascular structures using a hybrid mixture model (2019) Bayer S, Zhai Z, Strumia M, Tong X, Gao Y, Staring M, Stoel B, et al. Journal article, Original article Determination of Forming Limits in Sheet Metal Forming Using Deep Learning (2019) Jaremenko C, Ravikumar N, Affronti E, Merklein M, Maier A Journal article Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation (2019) Zhong X, Roser P, Bayer S, Ravikumar N, Strobel N, Birkhold A, Horz T, et al. Conference contribution, Conference Contribution Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability (2019) Kaiser N, Fieselmann A, Vesal S, Ravikumar N, Ritschl L, Kappler S, Maier A Conference contribution Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency (2019) Preuhs A, Ravikumar N, Manhart M, Stimpel B, Hoppe E, Syben-Leisner C, Kowarschik M, Maier A Conference contribution Dilated deeply supervised networks for hippocampus segmentation in MRI (2019) Folle L, Vesal S, Ravikumar N, Maier A Conference contribution Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers (2019) Xu Y, Schebesch F, Ravikumar N, Maier A Conference contribution