| Transfer learning from convolutional neural networks for computer-aided diagnosis: a comparison of digital breast tomosynthesis and full-field digital mammography K Mendel, H Li, D Sheth, M Giger Academic radiology 26 (6), 735-743, 2019 | 105 | 2019 |
| Digital mammography in breast cancer: additive value of radiomics of breast parenchyma H Li, KR Mendel, L Lan, D Sheth, ML Giger Radiology 291 (1), 15-20, 2019 | 95 | 2019 |
| Variation in algorithm implementation across radiomics software JJ Foy, KR Robinson, H Li, ML Giger, H Al-Hallaq, SG Armato III Journal of medical imaging 5 (4), 044505-044505, 2018 | 81 | 2018 |
| Radiomics robustness assessment and classification evaluation: A two‐stage method demonstrated on multivendor FFDM K Robinson, H Li, L Lan, D Schacht, M Giger Medical physics 46 (5), 2145-2156, 2019 | 30 | 2019 |
| Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers’ systems KR Mendel, H Li, L Lan, CM Cahill, V Rael, H Abe, ML Giger Journal of Medical Imaging 5 (1), 011002-011002, 2018 | 22 | 2018 |
| Prognostic value of pre-treatment CT texture analysis in combination with change in size of the primary tumor in response to induction chemotherapy for HPV-positive … TA Miller, KR Robinson, H Li, TY Seiwert, DJ Haraf, L Lan, ML Giger, ... Quantitative imaging in medicine and surgery 9 (3), 399, 2019 | 14 | 2019 |
| Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis KR Mendel, H Li, D Sheth, ML Giger Medical Imaging 2018: Computer-Aided Diagnosis 10575, 186-191, 2018 | 9 | 2018 |
| Machine learning on medical imaging for breast cancer risk assessment KR Robinson The University of Chicago, 2019 | 6 | 2019 |
| Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations KR Mendel, H Li, ML Giger Medical Imaging 2016: Computer-Aided Diagnosis 9785, 485-490, 2016 | 6 | 2016 |
| Variations in algorithm implementation among quantitative texture analysis software packages JJ Foy, P Mitta, LR Nowosatka, KR Mendel, H Li, ML Giger, H Al-Hallaq, ... Medical Imaging 2018: Computer-Aided Diagnosis 10575, 362-368, 2018 | 5 | 2018 |
| Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment K Mendel, H Li, N Tayob, R El-Zein, I Bedrosian, M Giger Medical Imaging 2019: Computer-Aided Diagnosis 10950, 1017-1023, 2019 | 4 | 2019 |
| Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs H Li, KR Mendel, JH Lee, L Lan, ML Giger Medical Imaging 2018: Computer-Aided Diagnosis 10575, 180-185, 2018 | 4 | 2018 |
| Temporal assessment of radiomic features on clinical mammography in a high-risk population KR Mendel, H Li, L Lan, CW Chan, LM King, N Tayob, G Whitman, ... Medical Imaging 2018: Computer-Aided Diagnosis 10575, 847-853, 2018 | 3 | 2018 |
| Impact of Algorithmic Implementation On Quantitative Texture Feature Values: th-ab-201-04 J Foy, K Mendel, H Li, M Giger, H Al-Hallaq, S Armato Medical Physics 44 (6), 3287, 2017 | 2 | 2017 |
| Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction H Li, K Robinson, L Lan, N Baughan, CW Chan, M Embury, GJ Whitman, ... Cancers 15 (7), 2141, 2023 | 1 | 2023 |
| Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma H Li, D Sheth, KR Mendel, L Lan, ML Giger 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 30-35, 2018 | 1 | 2018 |
| Clustering for Non-Redundant Feature Selection in Radiomics for Breast Cancer Risk Assessment K Mendel, S Porter, H Li, L Lan, D Schacht, M Giger MEDICAL PHYSICS 45 (6), E458-E458, 2018 | | 2018 |
| Quantitative Radiomics Analysis for Assessment of Breast Cancer Risk I Bedrosian, N Tayob, L King, R El-Zein, K Mendel, M Giger ANNALS OF SURGICAL ONCOLOGY 25, S56-S56, 2018 | | 2018 |
| Quantitative Radiomic Texture Analysis: Robustness Across Two Mammography Manufacturers: we-g-601-04 K Mendel, H Li, L Lan, M Giger Medical Physics 44 (6), 3262, 2017 | | 2017 |
