Electrical, Computer, and Systems Engineering Publications

Tuesday, March 1, 2016

Multiple-Instance Learning From Distributions

Doran, G., & Ray, S. (2016). Multiple-Instance Learning From Distributions. Journal of Machine Learning Research, ().

Saturday, February 20, 2016

Contralaterally Controlled Functional Electrical Stimulation and Hand Therapy Video Games for Cerebral Palsy

Fu, M. J., Curby, A., Suder, R., Chae, J., & Knutson, J. (2016). Contralaterally Controlled Functional Electrical Stimulation and Hand Therapy Video Games for Cerebral Palsy. Neurorehabilitation and Neural Repair, 30 (2), NP13.

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.

Monday, February 1, 2016

Editorial Comment.

Hoimes, C., & Madabhushi, A. (2016). Editorial Comment.. Urology, 88 (), 132-3.

Friday, January 29, 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 (1).

Monday, January 18, 2016

Needle Grasp and Entry Port Selection for Automatic Execution of Suturing Tasks in Robotic Minimally Invasive Surgery

Cavusoglu, M. C. (2016). Needle Grasp and Entry Port Selection for Automatic Execution of Suturing Tasks in Robotic Minimally Invasive Surgery. , ().

Friday, January 1, 2016

Single Trojan injection model generation and detection

Bhamidipati, H., Saab, D. G., & Abraham, J. (2016). Single Trojan injection model generation and detection. Latin-American Test Symposium (LATS) [Conference], (), 181-181.

Friday, January 1, 2016

Automated detection of atrial fibrillation from the electrocardiogram channel of polysomnograms

Monahan, K., Song, Y., Loparo, K. A., Mehra, R., Harrell, Jr, F., & Redline, S. (2016). Automated detection of atrial fibrillation from the electrocardiogram channel of polysomnograms. Sleep and Breathing, 20 (2), 515–522.

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

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 [20452322], 6 ().

Friday, January 1, 2016

A highly-integrated CMOS transceiver for active structural health monitoring

Tang, X., Zhao, H., & Mandal, S. (2016). A highly-integrated CMOS transceiver for active structural health monitoring. , (), 133--138.

Friday, January 1, 2016

A Privacy-Preserving Solution for the Bipartite Ranking Problem

Faramarzi, N., Ayday, E., & Guvenir, H. (2016). A Privacy-Preserving Solution for the Bipartite Ranking Problem. , (), 375--380.

Friday, January 1, 2016

Computational analysis of androgen receptor dependent radiosensitivity in prostate cancer

Qian, M., Almasan, A., & Gurkan Cavusoglu, E. (2016). Computational analysis of androgen receptor dependent radiosensitivity in prostate cancer. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), (), 1426-1429.

Friday, January 1, 2016

Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model

Ni, J., Koyutürk, M., Tong, H., Haines, J., Xu, R., & Zhang, X. (2016). Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC bioinformatics, 17 (1), 453.

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

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

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

A low-power receiver for simultaneous electrocardiogram and respiration rate detection

Liang, J., Li, S., Nikoofard, A., & Mandal, S. (2016). A low-power receiver for simultaneous electrocardiogram and respiration rate detection. , (), 2455--2458.

Friday, January 1, 2016

Cryptographic solutions for genomic privacy

Ayday, E. (2016). Cryptographic solutions for genomic privacy. , (), 328--341.

Friday, January 1, 2016

A neural mass model of basal ganglia nuclei simulates pathological beta rhythm in Parkinson’s disease

Liu, F., Wang, J., Liu, C., Li, H., Deng, B., Fietkiewicz, C., ... Loparo, K. A. (2016). A neural mass model of basal ganglia nuclei simulates pathological beta rhythm in Parkinson’s disease. Chaos: An Interdisciplinary Journal of Nonlinear Science, 26 (12), 123113.

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

Finite-state channel models for signal transduction in neural systems

Eckford, A., Loparo, K. A., & Thomas, P. (2016). Finite-state channel models for signal transduction in neural systems. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (), 6300-6304.

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.

Case School of Engineering

Electrical, Computer, and Systems Engineering

Electrical, Computer, and Systems Engineering Publications

Multiple-Instance Learning From Distributions

Contralaterally Controlled Functional Electrical Stimulation and Hand Therapy Video Games for Cerebral Palsy

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

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

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

Editorial Comment.

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

Needle Grasp and Entry Port Selection for Automatic Execution of Suturing Tasks in Robotic Minimally Invasive Surgery

Single Trojan injection model generation and detection

Automated detection of atrial fibrillation from the electrocardiogram channel of polysomnograms

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

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

A highly-integrated CMOS transceiver for active structural health monitoring

A Privacy-Preserving Solution for the Bipartite Ranking Problem

Computational analysis of androgen receptor dependent radiosensitivity in prostate cancer

Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model

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

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

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

A low-power receiver for simultaneous electrocardiogram and respiration rate detection

Cryptographic solutions for genomic privacy

A neural mass model of basal ganglia nuclei simulates pathological beta rhythm in Parkinson’s disease

Efficient Processing of Network Proximity Queries via Chebyshev Acceleration

Finite-state channel models for signal transduction in neural systems

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

Pages