Patrick Leo

883 citations

31 papers · 464 indexed · h-index 13

Impact in

Health Informatics top 5%
Radiology, Nuclear Medicine and Imaging top 5%
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 20
- Radiomics and Machine Learning in Medical Imaging 20
- MRI in cancer diagnosis 3
Pulmonary and Respiratory Medicine 18
- Prostate Cancer Diagnosis and Treatment 11
- Prostate Cancer Treatment and Research 7

Co-authors: Anant Madabhushi (31 shared papers)Robin Elliott (11 shared papers)Michael D. Feldman (6 shared papers)Pingfu Fu (10 shared papers)George Lee (3 shared papers)Natalie Shih (3 shared papers)Andrew Janowczyk (11 shared papers)Kaustav Bera (9 shared papers)
Journals: Journal of Clinical Oncology (4 papers)Clinical Cancer Research (2 papers)European Radiology (2 papers)Scientific Reports (1 paper)JCO Clinical Cancer Informatics (1 paper)
Partner nations: United States Switzerland China

In The Last Decade

Patrick Leo

30 papers receiving 455 citations

Peers

Countries citing papers authored by Patrick Leo

Since Specialization

Citations

This map shows the geographic impact of Patrick Leo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Leo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Leo more than expected).

Fields of papers citing papers by Patrick Leo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Leo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Leo. The network helps show where Patrick Leo may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Leo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Leo Line = papers co-authored together Patrick Leo links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images Journal of Medical Imaging ·Patrick Leo, George Lee, Natalie Shih, Robin Elliott, Michael D. Feldman, Anant Madabhushi	2016	55
2	A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI EBioMedicine ·Lin Li, Rakesh Shiradkar, Patrick Leo, Ahmad Algohary, Pingfu Fu, Sree Harsha Tirumani, Amr Mahran, Christina Buzzy, Verena Carola Obmann, Bahar Mansoori, Ayah El‐Fahmawi, Mohammed Shahait, Ashutosh Tewari, Cristina Magi‐Galluzzi, David I. Lee, Priti Lal, Lee Ponsky, Eric A. Klein, Andrei S. Purysko, Anant Madabhushi	2020	44
3	Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients Clinical Cancer Research ·Hersh K. Bhargava, Patrick Leo, Robin Elliott, Andrew Janowczyk, Jon Whitney, Sanjay Gupta, Pingfu Fu, Kosj Yamoah, Francesca Khani, Brian D. Robinson, Timothy R. Rebbeck, Michael D. Feldman, Priti Lal, Anant Madabhushi	2020	42
4	Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers Medical Image Analysis ·Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James Lewis, Vamsidhar Velcheti, Anant Madabhushi	2020	41
5	Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study Lung Cancer ·Mohammadhadi Khorrami, Kaustav Bera, Patrick Leo, Pranjal Vaidya, Pradnya D. Patil, Rajat Thawani, Priya Velu, Prabhakar Rajiah, Mehdi Alilou, Humberto Choi, Michael D. Feldman, Robert Gilkeson, Philip A. Linden, Pingfu Fu, Harvey I. Pass, Vamsidhar Velcheti, Anant Madabhushi	2020	34
6	T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology European Radiology ·Rakesh Shiradkar, Ananya Panda, Patrick Leo, Andrew Janowczyk, Xavier Farré, Nafiseh Janaki, Lin Li, Shivani Pahwa, Amr Mahran, Christina Buzzy, Pingfu Fu, Robin Elliott, Gregory T. MacLennan, Lee Ponsky, Vikas Gulani, Anant Madabhushi	2020	32
7	Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome npj Precision Oncology ·Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cristian Barrera, Philipp Zens, Cheng Lu, Priya Velu, Patrick Leo, Niha Beig, Haojia Li, Paula Toro, Sabina Berezowska, Vipul Baxi, David Balli, Merzu Belete, David L. Rimm, Vamsidhar Velcheti, Kurt A. Schalper, Anant Madabhushi	2022	32
8	Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study Scientific Reports ·Patrick Leo, Robin Elliott, Natalie Shih, Sanjay Gupta, Michael D. Feldman, Anant Madabhushi	2018	25
9	Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI Journal of Medical Imaging ·Prathyush Chirra, Patrick Leo, Michael C. Yim, B Bloch, Ardeshir R. Rastinehad, Andrei S. Purysko, Mark Rosen, Anant Madabhushi, Satish E. Viswanath	2019	25
10	Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers Clinical Cancer Research ·Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi	2022	19
11	Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI Prathyush Chirra, Nicolas B. Bloch, Ardeshir Rastinehead, Andrei S. Purysko, Anant Madabhushi, Satish E. Viswanath, Patrick Leo, Michael C. Yim, Mark Rosen	2018	19
12	Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study American Journal of Neuroradiology ·Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Kaustav Bera, Ramón Correa, Patrick Leo, Manmeet S. Ahluwalia, Anant Madabhushi, Pallavi Tiwari	2022	15
13	Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation JCO Clinical Cancer Informatics ·Sara Arabyarmohammadi, Patrick Leo, Vidya Sankar Viswanathan, Andrew Janowczyk, Germán Corredor, Pingfu Fu, Howard Meyerson, Leland Metheny, Anant Madabhushi	2022	13
14	Computer Extracted Features from Initial H&E Tissue Biopsies Predict Disease Progression for Prostate Cancer Patients on Active Surveillance Cancers ·Sacheth Chandramouli, Patrick Leo, George Lee, Robin Elliott, Christine Davis, Guangjing Zhu, Pingfu Fu, Jonathan I. Epstein, Robert W. Veltri, Anant Madabhushi	2020	12
15	Computational image features of immune architecture is associated with clinical benefit and survival in gynecological cancers across treatment modalities Journal for ImmunoTherapy of Cancer ·Sepideh Azarianpour, Germán Corredor, Kaustav Bera, Patrick Leo, Pingfu Fu, Paula Toro, Amy Joehlin‐Price, Mojgan Mokhtari, Haider Mahdi, Anant Madabhushi	2022	12
16	Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning Computer Methods and Programs in Biomedicine ·Zelin Zhang, Sara Arabyarmohammadi, Patrick Leo, Howard Meyerson, Leland Metheny, Jun Xu, Anant Madabhushi	2023	8
17	Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Patrick Leo, George Lee, Anant Madabhushi	2016	7
18	An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findings Heliyon ·Amogh Hiremath, Germán Corredor, Lin Li, Patrick Leo, Cristina Magi‐Galluzzi, Robin Elliott, Andrei S. Purysko, Rakesh Shiradkar, Anant Madabhushi	2024	4
19	Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide images Cancer Medicine ·Shayan Monabbati, Patrick Leo, Kaustav Bera, Claire W. Michael, Behtash Ghazi Nezami, Aparna Harbhajanka, Anant Madabhushi	2022	4
20	Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation Sara Arabyarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel Braman, Kaustav Bera, Behtash Ghazi Nezami, Howard Meyerson, Jun Xu, Leland Metheny, Anant Madabhushi	2020	3

About Patrick Leo

Patrick Leo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biophysics, Artificial Intelligence and Oncology, having authored 31 papers that have together received 464 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (11 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (4 papers), Digital Imaging for Blood Diseases (3 papers), Cancer, Lipids, and Metabolism (3 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Health Informatics (25 citations), Radiology, Nuclear Medicine and Imaging (325 citations), Biophysics (40 citations), Artificial Intelligence (192 citations) and Pulmonary and Respiratory Medicine (175 citations). Patrick Leo has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Anant Madabhushi, Robin Elliott, Michael D. Feldman, Pingfu Fu, George Lee, Natalie Shih, Andrew Janowczyk, Kaustav Bera, Vamsidhar Velcheti and Germán Corredor. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, European Radiology, Scientific Reports and JCO Clinical Cancer Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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