InAlAs/InGaAs HBT X-band double-balanced upconverter. - Kevin W. Kobayashi; Liem T. Tran; Stacey Bui; Aaron K. Oki; Dwight C. Streit; Mark Rosen (IEEE J. Solid State Circuits, 1994)

Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. - Anant Madabhushi; Jianbo Shi; Mark Rosen; John Tomaszewski 001; Michael D. Feldman (MICCAI, 2005)

Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. - Anant Madabhushi; Jianbo Shi; Michael D. Feldman; Mark Rosen; John Tomaszewski 001 (CVAMIA, 2006)

Distinguishing Lesions from Posterior Acoustic Shadowing in Breast Ultrasound via Non-Linear Dimensionality Reduction. - Anant Madabhushi; Peng Yang; Mark Rosen; Susan Weinstein (EMBC, 2006)

Comparison of Methods for Classification of Breast Ductal Branching Patterns. - Predrag R. Bakic; Despina Kontos; Vasileios Megalooikonomou; Mark A. Rosen; Andrew D. A. Maidment (Digital Mammography / IWDM, 2006)

Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactograms. - Predrag R. Bakic; Mark A. Rosen; Andrew D. A. Maidment (Image Processing, 2006)

A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration. - Jonathan Chappelow; Anant Madabhushi; Mark Rosen; John Tomaszewski 001; Michael D. Feldman (ISBI, 2007)

A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS). - Pallavi Tiwari; Anant Madabhushi; Mark Rosen (MICCAI (2), 2007)

Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection. - Jonathan Chappelow; Anant Madabhushi; Mark Rosen; John Tomaszewski 001; Michael D. Feldman (Image Processing, 2007)

Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI. - Shannon C. Agner; Salil Soman; Edward Libfeld; Margie McDonald; Mark A. Rosen; Mitchell D. Schnall; Deanna Chin; John L. Nosher; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer. - Jonathan Chappelow; Satish Viswanath; James Monaco; Mark Rosen; John Tomaszewski 001; Michael D. Feldman; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery. - Satish Viswanath; Mark Rosen; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging. - Satish Viswanath; Pallavi Tiwari; Mark Rosen; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. - Pallavi Tiwari; Mark Rosen; Anant Madabhushi (MICCAI (2), 2008)

Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA). - Robert Toth; Jonathan Chappelow; Mark Rosen; Sona Pungavkar; Arjun Kalyanpur; Anant Madabhushi (MICCAI (1), 2008)

A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models. - Robert Toth; Pallavi Tiwari; Mark Rosen; Arjun Kalyanpur; Sona Pungavkar; Anant Madabhushi (Image Processing, 2008)

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. - Shannon Agner; Jun Xu 005; Hussain Fatakdawala; Shridar Ganesan; Anant Madabhushi; Sarah Englander; Mark Rosen; Kathleen Thomas; Mitchell D. Schnall; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2009)

Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI. - Satish Viswanath; B. Nicolas Bloch; Mark Rosen; Jonathan Chappelow; Robert Toth; Neil Rofsky; Robert E. Lenkinski; Elizabeth Genega; Arjun Kalyanpur; Anant Madabhushi (Computer-Aided Diagnosis, 2009)

Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data. - Pallavi Tiwari; Mark Rosen; Galen Reed; John Kurhanewicz; Anant Madabhushi (MICCAI (1), 2009)

WERITAS: weighted ensemble of regional image textures for ASM segmentation. - Robert Toth; Scott Doyle; Mark Rosen; Arjun Kalyanpur; Sona Pungavkar; B. Nicolas Bloch; Elizabeth Genega; Neil Rofsky; Robert E. Lenkinski; Anant Madabhushi (Image Processing, 2009)

Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE). - Peter Maday; Parmeshwar Khurd; Lance Ladic; Mitchell D. Schnall; Mark Rosen; Christos Davatzikos; Ali Kamen (MCV, 2010)

Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. - Pallavi Tiwari; John Kurhanewicz; Mark Rosen; Anant Madabhushi (MICCAI (3), 2010)

Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. - Jonathan Chappelow; Stefan Both; Satish Viswanath; Stephen Hahn 002; Michael D. Feldman; Mark Rosen; John Tomaszewski 001; Neha Vapiwala; Pratik Patel; Anant Madabhushi (Image-Guided Procedures, 2010)

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. - Pratik Patel; Jonathan Chappelow; John Tomaszewski 001; Michael D. Feldman; Mark Rosen; Natalie Shih; Anant Madabhushi (EMBC, 2011)

Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI. - Shannon Agner; Jun Xu 005; Mark Rosen; Sudha Karthigeyan; Sarah Englander; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. - Ahmed Bilal Ashraf; Sara Gavenonis; Dania Daye; Carolyn Mies; Michael D. Feldman; Mark Rosen; Despina Kontos (MICCAI (3), 2011)

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. - Gaoyu Xiao; B. Nicolas Bloch; Jonathan Chappelow; Elizabeth Genega; Neil Rofsky; Robert E. Lenkinski; John Tomaszewski 001; Michael D. Feldman; Mark Rosen; Anant Madabhushi (Comput. Medical Imaging Graph., 2011)

Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification. - Shannon Agner; Salil Soman; Edward Libfeld; Margie McDonald; Kathleen Thomas; Sarah Englander; Mark A. Rosen; Deanna Chin; John L. Nosher; Anant Madabhushi (J. Digit. Imaging, 2011)

A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. - Robert Toth; Pallavi Tiwari; Mark Rosen; Galen Reed; John Kurhanewicz; Arjun Kalyanpur; Sona Pungavkar; Anant Madabhushi (Medical Image Anal., 2011)

Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Carolyn Mies; Michael D. Feldman; Mark Rosen; Despina Kontos (MICCAI (2), 2013)

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. - Asha Singanamalli; Rachel Sparks; Mirabela Rusu; Natalie Shih; Amy Ziober; John Tomaszewski 001; Mark Rosen; Michael D. Feldman; Anant Madabhushi (Digital Pathology, 2013)

A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk. - Ahmed Bilal Ashraf; Sara Gavenonis; Dania Daye; Carolyn Mies; Mark A. Rosen; Despina Kontos (IEEE Trans. Medical Imaging, 2013)

Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Carolyn Mies; Mark Rosen; Michael D. Feldman; Despina Kontos (Computer-Aided Diagnosis, 2014)

Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. - Eileen Hwuang; Mirabela Rusu; Sudha Karthigeyan; Shannon Agner; Rachel Sparks; Natalie Shih; John Tomaszewski 001; Mark Rosen; Michael D. Feldman; Anant Madabhushi (Image Processing, 2014)

Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration. - Jia Wu 008; 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 (Computer-Aided Diagnosis, 2015)

Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Elizabeth S. McDonald; Mark Rosen; Carolyn Mies; Michael D. Feldman; Despina Kontos (IEEE Trans. Biomed. Eng., 2015)

Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. - Prathyush Chirra; Patrick Leo; Michael Yim; B. Nicolas Bloch; Ardeshir R. Rastinehad; Andrei S. Purysko; Mark Rosen; Anant Madabhushi; Satish Viswanath (Computer-Aided Diagnosis, 2018)

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. - Satish Viswanath; Prathyush Chirra; Michael Yim; Neil M. Rofsky; Andrei S. Purysko; Mark A. Rosen; B. Nicolas Bloch; Anant Madabhushi (BMC Medical Imaging, 2019)

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. - 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; et al. (J. Am. Medical Informatics Assoc., 2021)

Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. - Tianming Du; Honggang Zhang 002; Yuemeng Li; Stephen Pickup; Mark Rosen; Rong Zhou; Hee Kwon Song; Yong Fan 001 (Medical Image Anal., 2021)