Most cited papers from PathAI (United States)

PathAI (United States)

What are the most cited papers from PathAI (United States)?

The most cited paper from PathAI (United States) is "Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer" (Babak Ehteshami Bejnordi et al., 2017), with 3,405 citations. Next come "Digital pathology and artificial intelligence in translational medicine and clinical practice" (597) and "Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association" (473).

Published TypeFieldAccessAuthorsCitations

Showing 50 of 94 papers. Every paper is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer Babak Ehteshami Bejnordi et al. · JAMA Open access	12 Dec 2017	3,405
2	Digital pathology and artificial intelligence in translational medicine and clinical practice Vipul A. Baxi, Robin H. Edwards, Michael Montalto et al. · Modern Pathology Open access	5 Oct 2021	597
3	Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association Esther Abels, Liron Pantanowitz, Famke Aeffner et al. · The Journal of Pathology Open access	29 Jul 2019	473
4	Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes James A. Diao et al. · Nature Communications Open access	12 Mar 2021	301
5	Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH Rohit Seth Loomba et al. · Hepatology	10 Nov 2020	290
6	The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group Khalid El Bairi et al. · npj Breast Cancer Open access554 authors	Dec 2021	288
7	Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies Babak Ehteshami Bejnordi, Maeve Mullooly, Ruth M. Pfeiffer et al. · Modern Pathology Open access	2018	221
8	Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer Zuzana Kos et al. · npj Breast Cancer Open access256 authors	12 May 2020	212
9	A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH Amaro N Taylor-Weiner et al. · Hepatology Open access	13 Feb 2021	202
10	Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group Mohamed T. Amgad et al. · npj Breast Cancer Open access258 authors	12 May 2020	176
11	The Combined Effect of FGFR Inhibition and PD-1 Blockade Promotes Tumor-Intrinsic Induction of Antitumor Immunity Sangeetha S. Palakurthi et al. · Cancer Immunology Research	22 Jul 2019	150
12	Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Katey S.S. Enfield et al. · Cancer Discovery Open access	6 Apr 2024	127
13	Molecular analysis of TCGA breast cancer histologic types Aatish Thennavan, Francisco Ferro de Beça, Youli Xia et al. · Cell Genomics Open access	Dec 2021	124
14	Artificial intelligence-assisted digital pathology for non-alcoholic steatohepatitis: current status and future directions Vlad Ratziu, Marcus Hompesch, Mathieu Petitjean et al. · Journal of Hepatology Open access	24 Oct 2023	96
15	Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association Haydee Lara, Zaibo Li, Esther Abels et al. · Applied immunohistochemistry & molecular morphology Open access	17 Mar 2021	90
16	Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association Giovanni M. Lujan, Jennifer C. Quigley, Douglas J. Hartman et al. · Journal of Pathology Informatics Open access	2021	89
17	Artificial Intelligence Enables Quantitative Assessment of Ulcerative Colitis Histology Fedaa Najdawi, Kathleen Sucipto, Pratik Mistry et al. · Modern Pathology Open access	15 Feb 2023	71
18	Androgen Receptor Expression and Breast Cancer Survival: Results From the Nurses’ Health Studies Kevin H. Kensler, Elizabeth M. Poole, Yujing Jan Heng et al. · JNCI Journal of the National Cancer Institute Open access	31 Aug 2018	71
19	Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab Vipul A. Baxi, George Lee, Chunzhe Duan et al. · Modern Pathology Open access	15 Jul 2022	65
20	A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis Jaime Bosch et al. · Hepatology Open access	Aug 2021	64
21	Assessment of Ki67 expression for breast cancer subtype classification and prognosis in the Nurses’ Health Study Megan A. Healey, Kelly A. Hirko, Andrew H. Beck et al. · Breast Cancer Research and Treatment Open access	8 Aug 2017	61
22	Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis Hanna Pulaski et al. · Nature Medicine Open access	4 Nov 2024	57
23	AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases Janani S. Iyer et al. · Nature Medicine Open access	7 Aug 2024	50
24	Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis Vlad Ratziu, Sven Francque, Cynthia A. Behling et al. · Hepatology Open access	19 Dec 2023	47
25	Adjuvant Trastuzumab Emtansine Versus Paclitaxel Plus Trastuzumab for Stage I Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer: 5-Year Results and Correlative Analyses From ATEMPT Paolo Tarantino et al. · Journal of Clinical Oncology Open access	27 Jun 2024	43
26	Challenges in IBD Research 2024: Precision Medicine Sana Syed, Brigid Sweeney Boland, Lauren T Bourke et al. · Inflammatory Bowel Diseases Open access	28 Mar 2024	41
27	A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients Hetal D. Marble, Richard Huang, Sarah Nixon Dudgeon et al. · Journal of Pathology Informatics Open access	2020	36
28	A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform, MERLIN, to Facilitate Healthcare AI Research Raphael Y. Cohen, Vesela Kovacheva · IEEE Journal of Biomedical and Health Informatics Open access	20 Mar 2023	35
29	Artificial Intelligence–Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study Sanja Đačić et al. · Journal of Thoracic Oncology Open access	7 Dec 2023	34
30	AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis John H. Abel et al. · npj Precision Oncology Open access	19 Jun 2024	33
31	Distinct hepatic immunological patterns are associated with the progression or inhibition of hepatocellular carcinoma Faridoddin Mirshahi, Hussein F. Aqbi, Madison Isbell et al. · Cell Reports Open access	Mar 2022	32
32	Androgen receptor expression in normal breast tissue and subsequent breast cancer risk Kevin H. Kensler, Francisco Ferro de Beça, Gabrielle M. Baker et al. · npj Breast Cancer Open access	17 Sep 2018	28
33	Multi stain graph fusion for multimodal integration in pathology Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Conference paper	Jun 2022	23
34	Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials Jan Hudeček et al. · npj Breast Cancer Open access258 authors	12 May 2020	20
35	Cancer-specific innate and adaptive immune rewiring drives resistance to PD-1 blockade in classic Hodgkin lymphoma Julia Paczkowska et al. · Nature Communications Open access	30 Dec 2024	18
36	Clinical trial: Effects of pegozafermin on the liver and on metabolic comorbidities in subjects with biopsy‐confirmed nonalcoholic steatohepatitis Naim Alkhouri, Donald J. Lazas, Rohit Seth Loomba et al. · Alimentary Pharmacology & Therapeutics Open access	18 Sep 2023	17
37	Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH Jake R. Conway, Maryam Pouryahya, Yevgeniy Gindin et al. · Cell Reports Medicine Open access	Apr 2023	17
38	Tumor-Intrinsic and Microenvironmental Determinants of Impaired Antitumor Immunity in Chromophobe Renal Cell Carcinoma Chris Labaki et al. · Journal of Clinical Oncology Open access	2 Jul 2025	16
39	SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed et al. Conference paper	3 Jan 2024	16
40	Identifying Risk Factors for Blindness From Glaucoma at First Presentation to a Tertiary Clinic Alyssa Shi, Samuel I. Berchuck, Alessandro A. Jammal et al. · American Journal of Ophthalmology Open access	9 Feb 2023	16
41	Bridging the Gap: The Critical Role of Regulatory Affairs and Clinical Affairs in the Total Product Life Cycle of Pathology Imaging Devices and Software Staci J. Kearney, Amanda Lowe, Jochen K. Lennerz et al. · Frontiers in Medicine Open access	17 Nov 2021	14
42	AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials Janani S. Iyer et al. · medRxiv PreprintOpen access	25 Apr 2023	13
43	Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer James A. Diao, Wan Fung Chui, Jason K. Wang et al. · bioRxiv (Cold Spring Harbor Laboratory) PreprintOpen access	4 Aug 2020	12
44	Review article: New developments in biomarkers and clinical drug development in alpha‐1 antitrypsin deficiency‐related liver disease Rohit Seth Loomba, Ginger Clark, Jeffrey H. Teckman et al. · Alimentary Pharmacology & Therapeutics Open access	22 Mar 2024	11
45	Advancing Artificial Intelligence Integration Into the Pathology Workflow: Exploring Opportunities in Gastrointestinal Tract Biopsies Fazilet Yilmaz, Arlen Brickman, Fedaa Najdawi et al. · Laboratory Investigation Open access	29 Feb 2024	11
46	Safety and efficacy of combination therapies including cilofexor/ firsocostat in patients with bridging fibrosis and cirrhosis due to NASH: Results of the phase 2b ATLAS trial Rohit Seth Loomba et al. · Journal of Hepatology	Aug 2020	9
47	Spatial Mapping of Gene Signatures in Hematoxylin and Eosin-Stained Images: A Proof of Concept for Interpretable Predictions Using Additive Multiple Instance Learning Miles Markey, Juhyun Kim, Zvi Goldstein et al. · Modern Pathology Open access	11 Apr 2025	8
48	Analysis of 20 Independently Performed Assays to Measure Homologous Recombination Deficiency (HRD) in Ovarian Cancer: Findings From the Friends' HRD Harmonization Project Hillary S. Andrews et al. · JCO oncology advances. Open access	Nov 2024	8
49	A Unified Framework for Sparse Online Learning Peilin Zhao, Dayong Wang, Pengcheng Wu et al. · ACM Transactions on Knowledge Discovery from Data	17 Aug 2020	8
50	Agreement Across 10 Artificial Intelligence Models in Assessing Human Epidermal Growth Factor Receptor 2 (HER2) Expression in Breast Cancer Whole-Slide Images Brittany Avin McKelvey et al. · Modern Pathology Open access	5 Jan 2026	7

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.