engineering.case.edu Publications

Tuesday, January 1, 2019

A privacy-preserving framework for outsourcing location-based services to the cloud

Zhu, X., Ayday, E., & Vitenberg, R. (2019). A privacy-preserving framework for outsourcing location-based services to the cloud. IEEE Transactions on Dependable and Secure Computing, ().

Friday, September 7, 2018

Practical challenge-response for DNS

Al-Dalky, R., Rabinovich, M., & Allman, M. (2018). Practical challenge-response for DNS. ACM SIGCOMM Computer Communication Review, 48 (3), 20-28.

Friday, March 9, 2018

Toward an infrastructure for data-driven multimodal communication research

Steen, F., Hougaard, A., Joo, J., Olza, I., C�novas, C., Pleshakova, A., ... Turner, M. (2018). Toward an infrastructure for data-driven multimodal communication research. Linguistics Vanguard, 4 (1).

Monday, January 1, 2018

GenoPri'16: International Workshop on Genome Privacy and Security

Ayday, E., Jiang, X., & Malin, B. (2018). GenoPri'16: International Workshop on Genome Privacy and Security. IEEE/ACM Transactions on Computational Biology and Bioinformatics, (5), 1403--1404.

Monday, January 1, 2018

Key Protected Classification for GAN Attack Resilient Collaborative Learning

Sar\iy\ild\iz, Mert B\"ulent, Cinbi\cs, Ramazan G\"okberk, & Ayday, E. (2018). Key Protected Classification for GAN Attack Resilient Collaborative Learning. , ().

Monday, January 1, 2018

Re-identification of individuals in genomic data-sharing beacons via allele inference

Von Thenen, N., Ayday, E., & Cicek, A Ercument (2018). Re-identification of individuals in genomic data-sharing beacons via allele inference. Bioinformatics, 35 (3), 365--371.

Monday, January 1, 2018

Realizing the potential of blockchain technologies in genomics

Ozercan, H., Ileri, A., Ayday, E., & Alkan, C. (2018). Realizing the potential of blockchain technologies in genomics. Genome research, 28 (9), 1255--1263.

Monday, January 1, 2018

When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data

G\"ursoy, Gamze, Harmanci, A., Tang, H., Ayday, E., & Brenner, S. (2018). When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data. World Scientific, ().

Monday, January 1, 2018

Personal Inertial Navigation System Assisted by MEMS Ground Reaction Sensor Array and Interface ASIC for GPS-Denied Environment

Guo, Q., Deng, W., Bebek, O., Cavusoglu, M. C., Mastrangelo, C., & Young, D. (2018). Personal Inertial Navigation System Assisted by MEMS Ground Reaction Sensor Array and Interface ASIC for GPS-Denied Environment. IEEE Journal of Solid-State Circuits, (), 11-Jan.

Friday, December 1, 2017

Physics Informed Network Models: Data Science Approach to Metals Design

Verma, A., French, R. H., & Carter, J. W. (2017). Physics Informed Network Models: Data Science Approach to Metals Design. Integrating Materials and Manufacturing Innovation/Springer, 6 (4), 279–287.

Tuesday, August 1, 2017

A System Dynamics Model for Predicting Supply and Demand of Medical Education Talents in China

Chankong, V. (2017). A System Dynamics Model for Predicting Supply and Demand of Medical Education Talents in China. EURASIA Jounal of Mathecal Science and Technology Education, 13 ().

Saturday, April 1, 2017

A Watershed and Feature based approach for automated detection of lymphocytes on lung cancer images

Madabhushi, A., & WAng, X. (2017). A Watershed and Feature based approach for automated detection of lymphocytes on lung cancer images. , ().

Saturday, April 1, 2017

Modeling and Analysis of Beta Oscillations in the Basal Ganglia

Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A. (2017). Modeling and Analysis of Beta Oscillations in the Basal Ganglia. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, PP (99).

Tuesday, March 14, 2017

An integrated segmentation and shape based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.

Alilou, M., Beig, N., Orooji, M., Rajiah, P., Velcheti, V., Rakshit, S., ... Madabhushi, A. (2017). An integrated segmentation and shape based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.. Medical physics, ().

Monday, February 13, 2017

A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.

Romo-Bucheli, D., Janowczyk, A., Gilmore, H., Romero, E., & Madabhushi, A. (2017). A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.. Cytometry. Part A : the journal of the International Society for Analytical Cytology, ().

Wednesday, February 1, 2017

Computational imaging reveals shape differences between normal and malignant prostates on MRI.

Rusu, M., Purysko, A., Verma, S., Kiechle, J., Gollamudi, J., Ghose, S., ... Madabhushi, A. (2017). Computational imaging reveals shape differences between normal and malignant prostates on MRI.. Scientific reports, 7 (), 41261.

Thursday, January 5, 2017

Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.

Viswanath, S. E., Tiwari, P., Lee, G., & Madabhushi, A. (2017). Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.. BMC medical imaging, 17 (1), 2.

Wednesday, January 4, 2017

Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells.

Kim, J., Bennett, N., Devita, M., Chahar, S., Viswanath, S. E., Lee, H., ... Moghe, P. (2017). Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells.. Scientific reports, 7 (), 39406.

Sunday, January 1, 2017

Are vulnerabilities discovered and resolved like other defects?

Morrison, P., Pandita, R., Xiao, X., Chillarege, R., & Williams, L. (2017). Are vulnerabilities discovered and resolved like other defects?. Empirical Software Engineering, (), 1--39.

Sunday, January 1, 2017

Drug Response Prediction as a Link Prediction Problem

Stanfield, Z., Coskun, M., & Koyutürk, M. (2017). Drug Response Prediction as a Link Prediction Problem. Scientific Reports, 7 ().

Sunday, January 1, 2017

Linearity of network proximity measures: implications for set-based queries and significance testing

Maxwell, S., Chance, M., & Koyutürk, M. (2017). Linearity of network proximity measures: implications for set-based queries and significance testing. Bioinformatics, 33 (9), 1354--1361.

Sunday, January 1, 2017

A Nonrelational Data Warehouse for the Analysis of Field and Laboratory Data From Multiple Heterogeneous Photovoltaic Test Sites

Hu, Y., Gunapati, V., Zhao, P., Gordon, D., Wheeler, N., Hossain, M., ... French, R. H. (2017). A Nonrelational Data Warehouse for the Analysis of Field and Laboratory Data From Multiple Heterogeneous Photovoltaic Test Sites. IEEE Journal of Photovoltaics, 7 (1), 230–236.

Sunday, January 1, 2017

NETWORK MAP OF ADVERSE HEALTH EFFECTS AMONG VICTIMS OF INTIMATE PARTNER VIOLENCE

Whiting, K., LIU, L., Koyutürk, M., & Karakurt, G. (2017). NETWORK MAP OF ADVERSE HEALTH EFFECTS AMONG VICTIMS OF INTIMATE PARTNER VIOLENCE. , (), 324-335.

Sunday, January 1, 2017

Prioritizing tests of epistasis through hierarchical representation of genomic redundancies

Cowman, T., & Koyutürk, M. (2017). Prioritizing tests of epistasis through hierarchical representation of genomic redundancies. Nucleic Acids Research, ().

Sunday, January 1, 2017

Offline reinforcement learning with task hierarchies

Schwab, D., & Ray, S. (2017). Offline reinforcement learning with task hierarchies. MACHINE LEARNING, 106 (9-10), 1569-1598.

Monday, December 19, 2016

Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.

Ginsburg, S., Algohary, A., Pahwa, S., Gulani, V., Ponsky, L., Aronen, H., ... Madabhushi, A. (2016). Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.. Journal of magnetic resonance imaging : JMRI, ().

Monday, December 12, 2016

Efficient Privacy-preserving Outsourcing of Large-scale Convex Separable Programming for Smart Cities

Liao, W., Du, W., Salinas, S., & Li, P. (2016). Efficient Privacy-preserving Outsourcing of Large-scale Convex Separable Programming for Smart Cities . the 14th IEEE International Conference on Smart City (SmartCity’16), ().

Thursday, December 8, 2016

Privacy-Preserving Spectrum Query with Location Proofs in Database-Driven CRNs

Xin, J., Li, Z., Luo, C., & Li, P. (2016). Privacy-Preserving Spectrum Query with Location Proofs in Database-Driven CRNs. IEEE Global Communications Conference (Globecom’16), ().

Thursday, December 1, 2016

Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study.

Tiwari, P., Prasanna, P., Wolansky, L., Pinho, M., Cohen, M., Nayate, A., ... Madabhushi, A. (2016). Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study.. AJNR. American journal of neuroradiology, 37 (12), 2231-2236.

Thursday, December 1, 2016

Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method.

Ginsburg, S., Taimen, P., Merisaari, H., Vainio, P., Boström, P., Aronen, H., ... Madabhushi, A. (2016). Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method.. Journal of magnetic resonance imaging : JMRI, 44 (6), 1405-1414.

Tuesday, November 22, 2016

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor.

Prasanna, P., Tiwari, P., & Madabhushi, A. (2016). Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor.. Scientific reports, 6 (), 37241.

Thursday, November 10, 2016

Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI.

Shiradkar, R., Podder, T., Algohary, A., Viswanath, S. E., Ellison, C., & Madabhushi, A. (2016). Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI.. Radiation oncology (London, England), 11 (1), 148.

Monday, October 24, 2016

Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.

Prasanna, P., Patel, J., Partovi, S., Madabhushi, A., & Tiwari, P. (2016). Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.. European radiology, ().

Monday, October 3, 2016

Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images.

Lu, W., Xu, Y., Xu, J., Gilmore, H., Mandal, M., & Madabhushi, A. (2016). Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images.. Scientific reports, 6 (), 33985.

Saturday, October 1, 2016

Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.

De Leon, A., Lee, G., Shih, N., Elliott, R., Feldman, M., & Madabhushi, A. (2016). Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.. Journal of medical imaging (Bellingham, Wash.), 3 (4), 047502.

Saturday, October 1, 2016

Image analysis and machine learning in digital pathology: Challenges and opportunities.

Madabhushi, A., & Lee, G. (2016). Image analysis and machine learning in digital pathology: Challenges and opportunities.. Medical image analysis, 33 (), 170-5.

Saturday, October 1, 2016

Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability

Liao, W., Salinas, S., Li, Z., Li, P., & Pan, M. (2016). Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability. IEEE Transactions on Emerging Topics in Computing, 4 (4), 541-555.

Wednesday, September 7, 2016

Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images.

Romo-Bucheli, D., Janowczyk, A., Gilmore, H., Romero, E., & Madabhushi, A. (2016). Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images.. Scientific reports, 6 (), 32706.

Tuesday, July 26, 2016

AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.

Penzias, G., Janowczyk, A., Singanamalli, A., Rusu, M., Shih, N., Feldman, M., ... Madabhushi, A. (2016). AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.. Scientific reports, 6 (), 29906.

Tuesday, July 26, 2016

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.

Janowczyk, A., & Madabhushi, A. (2016). Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.. Journal of pathology informatics, 7 (), 29.

Friday, July 15, 2016

Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data.

Lee, G., Romo Bucheli, D., & Madabhushi, A. (2016). Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data.. PloS one, 11 (7), e0159088.

Monday, July 11, 2016

Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.

Bhargava, R., & Madabhushi, A. (2016). Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.. Annual review of biomedical engineering, 18 (), 387-412.

Friday, June 10, 2016

Dynamic consolidation problems in saturated soils solved through u–w formulation in a LME meshfree framework

Navas, P., Yu, R., López-Querol, S., & Li, B. (2016). Dynamic consolidation problems in saturated soils solved through u–w formulation in a LME meshfree framework. Computers and Geotechnics [0266352X], 79 (), 55-72.

Monday, June 6, 2016

Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images.

Sparks, R., & Madabhushi, A. (2016). Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images.. Scientific reports, 6 (), 27306.

Monday, May 30, 2016

Efficient Secure Outsourcing of Large-scale Quadratic Programs

Salinas, S., Luo, C., Liao, W., & Li, P. (2016). Efficient Secure Outsourcing of Large-scale Quadratic Programs. ACM Asia Conference on Computer and Communications Security - ASIA CCS, (), 281-292.

Thursday, May 26, 2016

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.

Xu, J., Luo, R., Wang, P., Gilmore, H., & Madabhushi, A. (2016). A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.. Neurocomputing, 191 (), 214-223.

Monday, May 16, 2016

Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.

Janowczyk, A., Basavanhally, A., & Madabhushi, A. (2016). Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, ().

Monday, April 18, 2016

Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings.

Toth, R., Sperling, D., & Madabhushi, A. (2016). Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings.. PloS one, 11 (4), e0150016.

Friday, April 1, 2016

Privacy-preserving Verifiable Data Aggregation and Analysis for Cloud-assisted Mobile Crowdsourcing

Zhuo, G., Jiang, Q., Guo, L., Li, Z., & Li, P. (2016). Privacy-preserving Verifiable Data Aggregation and Analysis for Cloud-assisted Mobile Crowdsourcing. IEEE INFOCOM, ().

Friday, April 1, 2016

Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study.

Antunes, J., Viswanath, S. E., Rusu, M., Valls, L., Hoimes, C., Avril, N., ... Madabhushi, A. (2016). Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study.. Translational oncology, 9 (2), 155-62.

Tuesday, March 1, 2016

Privacy-Preserving Energy Theft Detection in Microgrids: A State Estimation Approach

Li, P. (2016). Privacy-Preserving Energy Theft Detection in Microgrids: A State Estimation Approach. IEEE Transactions on Power Systems, ().

Thursday, February 18, 2016

A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.

Wang, X., Bloch, B., Plecha, D., Thompson, C., Gilmore, H., Jaffe, C., ... Madabhushi, A. (2016). A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.. Scientific reports, 6 (), 21394.

Monday, February 1, 2016

Brief exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER-2 negative breast cancers

Madabhushi, A. (2016). Brief exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER-2 negative breast cancers. International Journal of Cancer, 138 (3), 10.

Monday, February 1, 2016

Brief-exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER2-negative breast cancers.

Varadan, V., Kamalakaran, S., Gilmore, H., Banerjee, N., Janevski, A., Miskimen, K., ... Harris, L. (2016). Brief-exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER2-negative breast cancers.. International journal of cancer, 138 (3), 747-57.

Friday, January 1, 2016

Analysis and Enhancements of a Prolific Macroscopic Model of Epilepsy

Fietkiewicz, C., & Loparo, K. A. (2016). Analysis and Enhancements of a Prolific Macroscopic Model of Epilepsy. Scientifica, 2016 (3628247).

Friday, January 1, 2016

Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer

Niazi, M., Yao, K., Zynger, D., Clinton, S., Chen, J., Koyutürk, M., ... Gurcan, M. (2016). Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. IEEE Transactions on Information Technology in Biomedicine [10897771], (), 1-Jan.

Friday, January 1, 2016

Abstract P5-07-12: Local nuclear architecture features from H&E images predict early versus distant recurrence in lymph node negative, ER+ breast cancers

Karabalin, R., Rimm, D., Ganesan, S., & Madabhushi, A. (2016). Abstract P5-07-12: Local nuclear architecture features from H&E images predict early versus distant recurrence in lymph node negative, ER+ breast cancers. Cancer Research [00085472], 76 (4 Supplement), P5-07-12-P5-07-12.

Friday, January 1, 2016

Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study: Radiomic Features for Prostate Cancer Detection on MRI

Ginsburg, S., Algohary, A., Pahwa, S., Gulani, V., Ponsky, L., Aronen, H., ... Madabhushi, A. (2016). Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study: Radiomic Features for Prostate Cancer Detection on MRI. Journal of Magnetic Resonance Imaging [10531807], ().

Friday, January 1, 2016

Variability in respiratory rhythm generation: In vitro and in silico models

Fietkiewicz, C., Shafer, G., Platt, E., & Wilson, C. (2016). Variability in respiratory rhythm generation: In vitro and in silico models. Communications in Nonlinear Science and Numerical Simulation [10075704], 32 (), 158-168.

Friday, January 1, 2016

Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data

Lee, G., Romo Bucheli, D., & Madabhushi, A. (2016). Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data. PLoS ONE [19326203], 11 (7).

Friday, January 1, 2016

Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study

Friday, January 1, 2016

Democratizing an electroluminescence imaging apparatus and analytics project for widespread data acquisition in photovoltaic materials

Fada, J., Wheeler, N., Zabiyaka, D., Goel, N., Peshek, T., & French, R. H. (2016). Democratizing an electroluminescence imaging apparatus and analytics project for widespread data acquisition in photovoltaic materials. Review of Scientific Instruments [00346748], 87 (8).

Friday, January 1, 2016

Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images

Romo-Bucheli, D., Janowczyk, A., Romero, E., Gilmore, H., & Madabhushi, A. (2016). Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. SPIE Medical Imaging [Conference], 9791 ().

Friday, January 1, 2016

Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology

Janowczyk, A., Basavanhally, A., & Madabhushi, A. (2016). Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Computerized Medical Imaging and Graphics [08956111], ().

Friday, January 1, 2016

High-confidence software evolution

Gao, Q., Li, Y., Xiong, Y., Hao, D., Xiao, X., Taneja, K., ... Xie, T. (2016). High-confidence software evolution. Science China Information Sciences, 59 (7), 071101.

Friday, January 1, 2016

Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images

Friday, January 1, 2016

Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE

Cohn, H., Lu, C., Paspulati, R., Katz, J., Madabhushi, A., Stein, S., ... Dave, M. (2016). Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE. Gastroenterology [00165085], 150 (4).

Friday, January 1, 2016

Security Analytics for Mobile Apps: Achievements and Challenges

Yang, W., Xiao, X., Li, D., Li, H., Liu, X., Wang, H., ... Xie, T. (2016). Security Analytics for Mobile Apps: Achievements and Challenges. Journal of Cyber Security , 1 (2), 1-14.

Friday, January 1, 2016

A correlation-based approach to trustworthy sensing for cyber-physical systems

Wu, D., Wang, P., Zhang, X., Yan, R., & Gao, R. X. (2016). A correlation-based approach to trustworthy sensing for cyber-physical systems. IEEE International Instrumentation and Measurement Technology Conference, (), 6-Jan.

Friday, January 1, 2016

Design and development of a smart exercise bike for motor rehabilitation in individuals with Parkinson’s disease

Mohammadi-Abdar, H., Ridgel, A., Discenzo, F., & Loparo, K. A. (2016). Design and development of a smart exercise bike for motor rehabilitation in individuals with Parkinson’s disease. IEEE/ASME Transactions on Mechatronics, 21 (3), 1650–1658.

Friday, January 1, 2016

AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments

Friday, January 1, 2016

Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems

Wu, D., Terpenny, J., Zhang, L., Gao, R. X., & Kurfess, T. (2016). Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems. ASME International Manufacturing Science and Engineering Conference, ().

Friday, January 1, 2016

NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig

Sahoo, S., Wei, A., Valdez, J., Wang, L., Zonjy, B., Tatsuoka, C., ... Lhatoo, S. (2016). NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig. Frontiers in Neuroinformatics [16625196], 10 ().

Friday, January 1, 2016

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering

Cheng, W., Guo, Z., Zhang, X., & Wang, Z. (2016). CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Transactions on Knowledge Discovery from Data [15564681], 10 (4), 27-Jan.

Friday, January 1, 2016

Multi-sensor data fusion for improved measurement accuracy in injection molding

Fan, Z., Gao, R. X., Wang, P., & Kazmer, D. (2016). Multi-sensor data fusion for improved measurement accuracy in injection molding. IEEE International Instrumentation and Measurement Technology Conference, (), 5-Jan.

Friday, January 1, 2016

Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals with Parkinson's Disease

Mohammadi-Abdar, H., Ridgel, A., Discenzo, F., Phillips, R., Walter, B., & Loparo, K. A. (2016). Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals with Parkinson's Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering [15344320], 24 (11), 1254-1264.

Friday, January 1, 2016

Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study

Tiwari, P., Prasanna, P., Wolansky, L., Pinho, M., Cohen, M., Nayate, A., ... Madabhushi, A. (2016). Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study. American Journal of Neuroradiology [01956108], 37 (12), 2231-2236.

Friday, January 1, 2016

Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology

Madabhushi, A., Ginsburg, S., & Lee, G. (2016). Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. IEEE Transactions on Medical Imaging, 35 (1), 76 - 88.

Friday, January 1, 2016

Mining Dual Networks: Models, Algorithms, and Applications

Wu, Y., Zhu, X., Liu, L., Fan, W., Jin, R., & Zhang, X. (2016). Mining Dual Networks: Models, Algorithms, and Applications. ACM Transactions on Knowledge Discovery from Data [15564681], 10 (4), Jan-37.

Friday, January 1, 2016

Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology.

Ginsburg, S., Lee, G., Karabalin, R., & Madabhushi, A. (2016). Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology.. IEEE transactions on medical imaging, 35 (1), 76-88.

Friday, January 1, 2016

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

Janowczyk, A., & Madabhushi, A. (2016). Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. Journal of Pathology Informatics [21533539], 7 (1).

Friday, January 1, 2016

Stacked Sparce Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images

Madabhushi, A. (2016). Stacked Sparce Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images. IEEE Transactions on Medical Imaging, 35 (1), 119 - 30.

Friday, January 1, 2016

Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology

Bhargava, R., & Madabhushi, A. (2016). Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology. Annual Review of Biomedical Engineering [15239829], 18 (1), 387-412.

Friday, January 1, 2016

Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.

Litjens, G., Elliott, R., Shih, N., Feldman, M., Kobus, T., De Hulsbergen-van Kaa, C., ... Madabhushi, A. (2016). Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.. Radiology, 278 (1), 135-45.

Friday, January 1, 2016

Image analysis and machine learning in digital pathology: Challenges and opportunities

Madabhushi, A., & Lee, G. (2016). Image analysis and machine learning in digital pathology: Challenges and opportunities. Medical Image Analysis [13618415], 33 (), 170-175.

Friday, January 1, 2016

Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer.

Singanamalli, A., Rusu, M., Sparks, R., Shih, N., Ziober, A., Wang, Y., ... Madabhushi, A. (2016). Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer.. Journal of magnetic resonance imaging : JMRI, 43 (1), 149-58.

Friday, January 1, 2016

MP02-17 COMPUTER EXTRACTED NUCLEAR FEATURES FROM FEULGEN AND H&E IMAGES PREDICT BIOCHEMICAL RECURRENCE IN PROSTATE CANCER PATIENTS FOLLOWING RADICAL PROSTATECTOMY

Gawlik, A., Lee, G., Whitney, J., Epstein, J., Veltri, R., & Madabhushi, A. (2016). MP02-17 COMPUTER EXTRACTED NUCLEAR FEATURES FROM FEULGEN AND H&E IMAGES PREDICT BIOCHEMICAL RECURRENCE IN PROSTATE CANCER PATIENTS FOLLOWING RADICAL PROSTATECTOMY. The Journal of Urology [00225347], 195 (4), e16-e17.

Friday, January 1, 2016

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.

Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Stangl, J., ... Madabhushi, A. (2016). Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.. IEEE transactions on medical imaging, 35 (1), 119-30.

Friday, January 1, 2016

A Tutorial on Secure Outsourcing of Large-scale Computations for Big Data

Salinas, S., Chen, X., Ji, J., & Li, P. (2016). A Tutorial on Secure Outsourcing of Large-scale Computations for Big Data. IEEE Access [21693536], 4 (), 1406-1416.

Friday, January 1, 2016

Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images

Lu, C., Xu, H., Xue, Z., Gilmore, H., Mandal, M., & Madabhushi, A. (2016). Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images. Scientific Reports [20452322], 6 ().

Friday, January 1, 2016

Privacy-preserving Verifiable Set Operation in Big Data for Cloud-assisted Mobile Crowdsourcing

Zhuo, G., Jiang, Q., Guo, L., Li, Z., & Li, P. (2016). Privacy-preserving Verifiable Set Operation in Big Data for Cloud-assisted Mobile Crowdsourcing. IEEE Internet of Things Journal [23274662], (), 1-Jan.

Friday, January 1, 2016

Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings

Lee, G., Veltri, R., Zhu, G., Ali, S., Epstein, J., & Madabhushi, A. (2016). Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings. European Urology Focus [24054569], ().

Friday, January 1, 2016

Measuring the Internet

Rabinovich, M., & Allman, M. (2016). Measuring the Internet. IEEE Internet Computing [10897801], 20 (4), 8-Jun.

Friday, January 1, 2016

Efficient Processing of Network Proximity Queries via Chebyshev Acceleration

Coskun, M., Grama, A., & Koyutürk, M. (2016). Efficient Processing of Network Proximity Queries via Chebyshev Acceleration. ACM SIGKDD international conference on Knowledge discovery and data mining - KDD, (), 1515-1524.

Friday, January 1, 2016

A Deep Convolutional Neural Network for Segmenting and Classifying Epithelial and Stromal Regions in Histopathological Images

Xue, Z., Luo, X., Wang, G., Gilmore, H., & Madabhushi, A. (2016). A Deep Convolutional Neural Network for Segmenting and Classifying Epithelial and Stromal Regions in Histopathological Images. Neurocomputing [09252312], 191 (), 214-223.

Friday, January 1, 2016

Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images

Friday, January 1, 2016

Internet with Transient Destination-Controlled Addressing

Al-Qudah, Z., Johnson, E., Rabinovich, M., & Spatcheck, O. (2016). Internet with Transient Destination-Controlled Addressing. ACM/IEEE Trans. on Networking, ().
DOI: 10.1109/TNET.2014.2382110

Friday, January 1, 2016

Pluribus - Exploring the Limits of Error Correction Using a Suffix Tree

Savel, D., LaFramboise, T., Grama, A., & Koyutürk, M. (2016). Pluribus - Exploring the Limits of Error Correction Using a Suffix Tree. Computational Biology and Bioinformatics, IEEE-ACM Transactions on [15455963], (), 1-Jan.

Friday, January 1, 2016

A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores

Wan, T., Bloch, B., Plecha, D., Thompson, C., Gilmore, H., Jaffe, C., ... Madabhushi, A. (2016). A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores. Scientific Reports [20452322], 6 ().

Friday, January 1, 2016

Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method: AIF-Free Pharmacokinetic Parameter Estimation

Ginsburg, S., Taimen, P., Merisaari, H., Vainio, P., Boström, P., Aronen, H., ... Madabhushi, A. (2016). Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method: AIF-Free Pharmacokinetic Parameter Estimation. Journal of Magnetic Resonance Imaging [10531807], 44 (6), 1405-1414.

Friday, January 1, 2016

PoCos: Population Covering Locus Sets for Risk Assessment in Complex Diseases

Ayati, M., & Koyutürk, M. (2016). PoCos: Population Covering Locus Sets for Risk Assessment in Complex Diseases. PLoS computational biology, 12 (11), e1005195.

Friday, January 1, 2016

A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images

Janowczyk, A., Doyle, S., Gilmore, H., & Madabhushi, A. (2016). A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization [21681163], (), 7-Jan.

Friday, January 1, 2016

Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings

Friday, December 18, 2015

Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer

Ruffalo, M., Koyutürk, M., & Sharan, R. (2015). Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer. PLoS Computational Biology, ().

Sunday, November 1, 2015

Stroke Rehabilitation using Virtual Environments

Fu, M. J., Knutson, J., & Chae, J. (2015). Stroke Rehabilitation using Virtual Environments. Physical Medicine And Rehabilitation Clinics of North America, 26 (4), 747-757.

Tuesday, September 1, 2015

Resource Harvesting in Cognitive Wireless Computing Networks With Mobile Clouds and Virtualized Distributed Data Centers: Performance Limits

Kangas, M., Glisic, S., Fang, Y., & Li, P. (2015). Resource Harvesting in Cognitive Wireless Computing Networks With Mobile Clouds and Virtualized Distributed Data Centers: Performance Limits. IEEE Transactions on Cognitive Communications and Networking, ().

Sunday, February 1, 2015

Robust Local Community Detection: On Free Rider Effect and Its Elimination

Wu, Y., Jin, R., Li, J., & Zhang, X. (2015). Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow., 8 (7), 798–809.

Sunday, February 1, 2015

Efficient Hardware Implementations of Binary-to-BCD Conversion Schemes for Decimal Multiplication

Al-Khaleel, O., Al-Qudah, Z., Al-Khaleel, M., Bani-Hani, R., Papachristou, C. A., & Wolff, F. (2015). Efficient Hardware Implementations of Binary-to-BCD Conversion Schemes for Decimal Multiplication. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 24 (2), -.

Thursday, January 1, 2015

Comprehensive Evaluation of Composite Gene Features in Cancer Outcome Prediction

Hu, D., & Koyutürk, M. (2015). Comprehensive Evaluation of Composite Gene Features in Cancer Outcome Prediction. Cancer Informatics, (), 93-104.

Thursday, January 1, 2015

User-aware privacy control via extended static-information-flow analysis

Xiao, X., Tillmann, N., Fahndrich, M., De Halleux, J., & Moskal, M. (2015). User-aware privacy control via extended static-information-flow analysis. Automated Software Engineering Journal (ASEJ), 22 (3), 333–366.

Thursday, January 1, 2015

Cloud Computing for Cloud Manufacturing: Benefits and Limitations

Wang, P., Gao, R. X., & Fan, Z. (2015). Cloud Computing for Cloud Manufacturing: Benefits and Limitations. , 137 (4), -.

Thursday, January 1, 2015

A scalable neuroinformatics data flow for electrophysiological signals using MapReduce

Jayapandian, C., Wei, A., Ramesh, P., Zonjy, B., Lhatoo, S., Loparo, K. A., ... Sahoo, S. (2015). A scalable neuroinformatics data flow for electrophysiological signals using MapReduce. Frontiers in neuroinformatics, 9 ().

Thursday, January 1, 2015

Cloud-enabled prognosis for manufacturing

Gao, R. X., Wang, Y., Teti, R., Dornfeld, D., Kumara, S., Mori, M., ... Helu, M. (2015). Cloud-enabled prognosis for manufacturing. , 64 (2), 749-772.

Thursday, January 1, 2015

An integrative framework for the identification of double minute chromosomes using next generation sequencing data

Hayes, M., & Li, J. (2015). An integrative framework for the identification of double minute chromosomes using next generation sequencing data. BMC GENETICS, 16 (), -.

Thursday, January 1, 2015

A Statistical Study of the Effects of Processing Upon the Creep Properties of GRCop-84

Ellis, D., Carter, J. W., & Ferry, M. (2015). A Statistical Study of the Effects of Processing Upon the Creep Properties of GRCop-84. MATERIALS SCIENCE AND ENGINEERING A, 640 (), 1-15.

Thursday, January 1, 2015

TCP Stretch Acknowledgements and Timestamps: Findings and Implications for Passive RTT Measurement

Ding, H., & Rabinovich, M. (2015). TCP Stretch Acknowledgements and Timestamps: Findings and Implications for Passive RTT Measurement. ACM SIGCOMM Computer Comm. Review, 45 (3), 20-27.

Friday, February 1, 2013

Avatar-based depression self-management technology: Promising approach to improve depressive symptoms among young adults.

Pinto, M., Clochesy, J., Hickman, R., & Buchner, M. (2013). Avatar-based depression self-management technology: Promising approach to improve depressive symptoms among young adults.. Appl. Nurs, 26(1) (), 45-8.

Tuesday, April 8, 2003

Test 2 Add

Waring, S., & Person, N. (2003). Test 2 Add. Pub test, 1 (2), 3.