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2020 – today
- 2021
[j9]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): 1178-1187 (2021)- [j8]Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan:
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. Medical Image Anal. 72: 102098 (2021)
2010 – 2019
- 2019
- [j7]Satish Viswanath, Prathyush Chirra, Michael Yim, Neil M. Rofsky, Andrei S. Purysko, Mark A. Rosen, B. Nicolas Bloch, Anant Madabhushi:
Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. BMC Medical Imaging 19(1): 22:1-22:12 (2019) - 2018
- [c31]Prathyush Chirra, Patrick Leo, Michael Yim, B. Nicolas Bloch, Ardeshir R. Rastinehad, Andrei S. 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: 105750B - 2015
- [j6]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): 1585-1594 (2015) - [c30]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: 94141Z - 2014
- [c29]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: 90350X - [c28]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: 90343P - 2013
- [j5]Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Mark A. Rosen, Despina Kontos:
A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk. IEEE Trans. Medical Imaging 32(4): 637-648 (2013) - [c27]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: 295-302 - [c26]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: 867604 - 2011
- [j4]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): 568-578 (2011) - [j3]Shannon Agner, Salil Soman, Edward Libfeld, Margie McDonald, Kathleen Thomas, Sarah Englander, Mark A. Rosen, Deanna Chin, John L. Nosher, Anant Madabhushi:
Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification. J. Digit. Imaging 24(3): 446-463 (2011) - [j2]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): 214-225 (2011) - [c25]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: 6269-6272 - [c24]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: 796305 - [c23]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: 546-553 - 2010
- [c22]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: 164-173 - [c21]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: 666-673 - [c20]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: 76252C
2000 – 2009
- 2009
- [c19]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: 1227-1230 - [c18]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: 72603I - [c17]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: 844-851 - [c16]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: 725905 - 2008
- [c15]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: 69150V - [c14]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: 69150U - [c13]Shannon C. Agner, Salil Soman, Edward Libfeld, Margie McDonald, Mark A. Rosen, Mitchell D. Schnall, Deanna Chin, John L. Nosher, Anant Madabhushi:
Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI. Medical Imaging: Computer-Aided Diagnosis 2008: 69152C - [c12]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: 69153D - [c11]Pallavi Tiwari, Mark Rosen, Anant Madabhushi:
Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. MICCAI (2) 2008: 330-338 - [c10]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: 653-661 - [c9]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: 69144S - 2007
- [c8]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: 644-647 - [c7]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: 278-286 - [c6]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: 65121S - 2006
- [c5]Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski:
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. CVAMIA 2006: 25-36 - [c4]Anant Madabhushi, Peng Yang, Mark Rosen, Susan Weinstein:
Distinguishing Lesions from Posterior Acoustic Shadowing in Breast Ultrasound via Non-Linear Dimensionality Reduction. EMBC 2006: 3070-3073 - [c3]Predrag R. Bakic, Despina Kontos, Vasileios Megalooikonomou, Mark A. Rosen, Andrew D. A. Maidment:
Comparison of Methods for Classification of Breast Ductal Branching Patterns. Digital Mammography / IWDM 2006: 634-641 - [c2]Predrag R. Bakic, Mark A. Rosen, Andrew D. A. Maidment:
Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactograms. Medical Imaging: Image Processing 2006: 614425 - 2005
- [c1]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: 729-737
1990 – 1999
- 1994
- [j1]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): 1238-1243 (1994)
Coauthor Index
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