Grants per year
Personal profile
Research Interests
I have a variety of research interests with most relating to abdominal imaging (GI/GU) especially abdominal MR and CT. These include pancreaticobiliary, hepatic and genitourinary imaging and new evolving imaging techniques especially related to MR such as diffusion weighted imaging and MR elastography.
Certifications and Licenses
| Diagnostic Radiology |
Training Experience
| 1993 | Residency, Northwestern University, McGaw Medical Center |
| 1994 | Fellowship, Brigham & Women's Hospital |
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Medicine, MD, Northwestern University
… → 1988
Research interests keywords
- Kidney Cancer / Urinary Tract Cancer
- Liver Cancer
- Oncology
- Pancreatic Cancer
- Pancreatic Disorders
- Prostate Cancer
- Radiology
- Transplantation
- Cancer: Female Reproductive System (ovary, cervix, uterus)
- Digestive Cancer (esophagus, stomach, colon, rectum)
Fingerprint
Dive into the research topics where Frank H Miller is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Hybrid Intelligence for Trustable Diagnosis And Patient Management of Prostate Cancer (HIT-PIRADS)
Bagci, U. (PD/PI), Miller, F. H. (Co-Investigator), Murphy, A. B. (Co-Investigator), Ross, A. E. (Co-Investigator), Schauer, J. M. (Co-Investigator), Schauer, J. M. (Co-Investigator), Schauer, J. M. (Co-Investigator) & Velichko, Y. (Co-Investigator)
6/22/23 → 5/31/27
Project: Research project
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Predicting Pancreatic Ductal Adenocarcinoma (PDAC) through Artificial Intelligence Analysis of Pre-diagnostic CT Images
Miller, F. H. (PD/PI) & Miller, F. H. (PD/PI)
Cedars-Sinai Medical Center, National Cancer Institute
9/1/21 → 8/31/26
Project: Research project
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Yittrium-90 radiation lobectomy: Dose optimization and prediction of FLR hypertrophy to enable resection of HCC
Collins, J. D. (PD/PI), Collins, J. D. (PD/PI), Lewandowski, R. J. (PD/PI), Lewandowski, R. J. (PD/PI), Caicedo, J. C. (Co-Investigator), Caicedo, J. C. (Co-Investigator), Collins, J. D. (Co-Investigator), Katariya, N. N. (Co-Investigator), Katariya, N. N. (Co-Investigator), Kulik, L. M. (Co-Investigator), Kulik, L. M. (Co-Investigator), Markl, M. (Co-Investigator), Markl, M. (Co-Investigator), Miller, F. H. (Co-Investigator), Miller, F. H. (Co-Investigator), Pezhouh, M. K. (Co-Investigator), Pezhouh, M. K. (Co-Investigator), Ragin, A. (Co-Investigator) & Ragin, A. (Co-Investigator)
8/1/19 → 7/31/26
Project: Research project
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Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic Tumors
Bagci, U. (PD/PI), Bagci, U. (PD/PI), Miller, F. H. (Co-Investigator) & Miller, F. H. (Co-Investigator)
3/1/21 → 2/28/25
Project: Research project
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A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice
Jha, D., Durak, G., Sharma, V., Keles, E., Cicek, V., Zhang, Z., Srivastava, A., Rauniyar, A., Hagos, D. H., Tomar, N. K., Miller, F. H., Topcu, A., Yazidi, A., Håkegård, J. E. & Bagci, U., Feb 2025, In: Bioengineering. 12, 2, 180.Research output: Contribution to journal › Article › peer-review
Open Access -
Imaging cholangiocarcinoma: CT and MRI techniques
Kierans, A. S., Costello, J., Qayyum, A., Taouli, B., Venkatesh, S. K., Yoon, J. H., Bali, M. A., Bolan, C. W., Lee, J. M., Marks, R. M., El Homsi, M. & Miller, F. H., Jan 2025, In: Abdominal Radiology. 50, 1, p. 94-108 15 p.Research output: Contribution to journal › Review article › peer-review
3 Scopus citations -
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning
Zhang, Z., Keles, E., Durak, G., Taktak, Y., Susladkar, O., Gorade, V., Jha, D., Ormeci, A. C., Medetalibeyoglu, A., Yao, L., Wang, B., Isler, I. S., Peng, L., Pan, H., Vendrami, C. L., Bourhani, A., Velichko, Y., Gong, B., Spampinato, C. & Pyrros, A. & 18 others, , Jan 2025, In: Medical Image Analysis. 99, 103382.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Uterine Sarcoma or Degenerating Fibroid? Validating the New Consensus Magnetic Resonance Imaging Algorithm for Evaluating Atypical Uterine Masses
Horowitz, J. M., Lopes Vendrami, C., Velichko, Y. S., Green-Walker, A. I., Kelahan, L. C., Jawahar, A., Barber, E. L., Shanes, E. D., Miller, F. H. & Recht, H. S., Jan 1 2025, In: Journal of Computer Assisted Tomography. 49, 1, p. 57-63 7 p.Research output: Contribution to journal › Article › peer-review
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Advances for Managing Pancreatic Cystic Lesions: Integrating Imaging and AI Innovations
Seyithanoglu, D., Durak, G., Keles, E., Medetalibeyoglu, A., Hong, Z., Zhang, Z., Taktak, Y. B., Cebeci, T., Tiwari, P., Velichko, Y. S., Yazici, C., Tirkes, T., Miller, F. H., Keswani, R. N., Spampinato, C., Wallace, M. B. & Bagci, U., Dec 2024, In: Cancers. 16, 24, 4268.Research output: Contribution to journal › Review article › peer-review
Open Access
Datasets
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Assessing the accuracy of multiparametric MRI to predict clinically significant prostate cancer in biopsy naïve men across racial/ethnic groups
Meza, J. (Creator), Babajide, R. (Creator), Saoud, R. (Creator), Sweis, J. (Creator), Abelleira, J. (Creator), Helenowski, I. (Creator), Jovanovic, B. (Creator), Eggener, S. (Creator), Miller, F. H. (Creator), Horowitz, J. M. (Creator), Casalino, D. D. (Creator) & Murphy, A. B. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.c.6101894, https://springernature.figshare.com/collections/Assessing_the_accuracy_of_multiparametric_MRI_to_predict_clinically_significant_prostate_cancer_in_biopsy_na_ve_men_across_racial_ethnic_groups/6101894
Dataset
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Additional file 1 of Assessing the accuracy of multiparametric MRI to predict clinically significant prostate cancer in biopsy naïve men across racial/ethnic groups
Meza, J. (Creator), Babajide, R. (Creator), Saoud, R. (Creator), Sweis, J. (Creator), Abelleira, J. (Creator), Helenowski, I. (Creator), Jovanovic, B. (Creator), Eggener, S. (Creator), Miller, F. H. (Creator), Horowitz, J. M. (Creator), Casalino, D. D. (Creator) & Murphy, A. B. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.20336747, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Assessing_the_accuracy_of_multiparametric_MRI_to_predict_clinically_significant_prostate_cancer_in_biopsy_na_ve_men_across_racial_ethnic_groups/20336747
Dataset