Mark Rosen

Publication Activity (10 Years)

Years Active: 1994-2021
Publications (10 Years): 3

Top Topics

Laplace Beltrami

Spectral Embedding

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Image Anal.

J. Am. Medical Informatics Assoc.

IEEE Trans. Biomed. Eng.

Publications

Matthew T. Maclean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan
-space data interpolation. Medical Image Anal. 72 (2021)
Prathyush Chirra, Patrick Leo, Michael Yim, B. Nicolas Bloch, Ardeshir R. Rastinehad, Andrei Purysko, Mark Rosen, Anant Madabhushi, Satish Viswanath
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. Medical Imaging: Computer-Aided Diagnosis (2018)
Jia Wu, Yangming Ou, Susan P. Weinstein, Emily F. Conant, Ning Yu, Vahid Hoshmand, Brad M. Keller, Ahmed Bilal Ashraf, Mark Rosen, Angela DeMichele, Christos Davatzikos, Despina Kontos
Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration. Medical Imaging: Computer-Aided Diagnosis (2015)
Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Elizabeth S. McDonald, Mark Rosen, Carolyn Mies, Michael D. Feldman, Despina Kontos
Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. IEEE Trans. Biomed. Eng. 62 (6) (2015)
Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Mark Rosen, Michael D. Feldman, Despina Kontos
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. Medical Imaging: Computer-Aided Diagnosis (2014)
Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John E. Tomaszeweski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. Medical Imaging: Image Processing (2014)
Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. Medical Imaging: Digital Pathology (2013)
Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. MICCAI (2) (2013)
Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. MICCAI (3) (2011)
Pratik Patel, Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Mark Rosen, Natalie Shih, Anant Madabhushi
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. EMBC (2011)
Shannon Agner, Jun Xu, Mark Rosen, Sudha Karthigeyan, Sarah Englander, Anant Madabhushi
Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2011)
Gaoyu Xiao, B. Nicolas Bloch, Jonathan Chappelow, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, John Tomaszewski, Michael D. Feldman, Mark Rosen, Anant Madabhushi
Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Comput. Medical Imaging Graph. 35 (7-8) (2011)
Robert Toth, Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi
A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. Medical Image Anal. 15 (2) (2011)
Peter Maday, Parmeshwar Khurd, Lance Ladic, Mitchell D. Schnall, Mark Rosen, Christos Davatzikos, Ali Kamen
Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE). MCV (2010)
Jonathan Chappelow, Stefan Both, Satish Viswanath, Stephen Hahn, Michael D. Feldman, Mark Rosen, John Tomaszewski, Neha Vapiwala, Pratik Patel, Anant Madabhushi
Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. Medical Imaging: Image-Guided Procedures (2010)
Pallavi Tiwari, John Kurhanewicz, Mark Rosen, Anant Madabhushi
Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. MICCAI (3) (2010)
Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski
Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI (2009)
Robert Toth, Scott Doyle, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Anant Madabhushi
WERITAS: weighted ensemble of regional image textures for ASM segmentation. Medical Imaging: Image Processing (2009)
Satish Viswanath, B. Nicolas Bloch, Mark Rosen, Jonathan Chappelow, Robert Toth, Neil Rofsky, Robert E. Lenkinski, Elizabeth Genega, Arjun Kalyanpur, Anant Madabhushi
Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Anant Madabhushi
Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data. MICCAI (1) (2009)
Pallavi Tiwari, Mark Rosen, Anant Madabhushi
Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. MICCAI (2) (2008)
Robert Toth, Pallavi Tiwari, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi
A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models. Medical Imaging: Image Processing (2008)
Robert Toth, Jonathan Chappelow, Mark Rosen, Sona Pungavkar, Arjun Kalyanpur, Anant Madabhushi
Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA). MICCAI (1) (2008)
Jonathan Chappelow, Satish Viswanath, James Monaco, Mark Rosen, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2008)
Satish Viswanath, Mark Rosen, Anant Madabhushi
A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery. Medical Imaging: Computer-Aided Diagnosis (2008)
Satish Viswanath, Pallavi Tiwari, Mark Rosen, Anant Madabhushi
A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis (2008)
Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John E. Tomaszeweski, Michael D. Feldman
A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration. ISBI (2007)
Pallavi Tiwari, Anant Madabhushi, Mark Rosen
A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS). MICCAI (2) (2007)
Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John E. Tomaszeweski, Michael D. Feldman
Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection. Medical Imaging: Image Processing (2007)
Anant Madabhushi, Peng Yang, Mark Rosen, Susan Weinstein
Distinguishing Lesions from Posterior Acoustic Shadowing in Breast Ultrasound via Non-Linear Dimensionality Reduction. EMBC (2006)
Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. CVAMIA (2006)
Anant Madabhushi, Jianbo Shi, Mark Rosen, John E. Tomaszeweski, Michael D. Feldman
Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. MICCAI (2005)
Kevin W. Kobayashi, Liem T. Tran, Stacey Bui, Aaron K. Oki, Dwight C. Streit, Mark Rosen
InAlAs/InGaAs HBT X-band double-balanced upconverter. IEEE J. Solid State Circuits 29 (10) (1994)