Rajarsi Gupta

Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 26 papers. Top paper: “Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer”.

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer

American Journal Of Pathology(2020)10.1016/j.ajpath.2020.03.012

N/A

0DataRank · unranked

117 citations

Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Luke A. Torre-Healy +12 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00027

N/A

0DataRank · unranked

98 citations

Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang +19 more

Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma

Scientific Reports(2021)10.1038/s41598-021-82305-1

N/A

0DataRank · unranked

26 citations

Isabel D. Friesner, Emanuelle M. Rizk, Benjamin T. Fullerton, Manas Mondal, Megan H. Trager +24 more

Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer

Frontiers in Oncology(2022)10.3389/fonc.2021.806603

N/A

0DataRank · unranked

79 citations

Rajarsi Gupta, Le Hou, Rebecca Batiste, Tianhao Zhao, Anand Shankar +6 more

Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression

Cancers(2022)10.3390/cancers14092148

N/A

0DataRank · unranked

58 citations

Luke A. Torre-Healy, Rajarsi Gupta, Alina M. Hamilton, Soma Kobayashi, Sarah C. Van Alsten +7 more

AI and Pathology: Steering Treatment and Predicting Outcomes

arXiv (Cornell University)(2022)10.48550/arxiv.2206.07573

N/A

0DataRank · unranked

0 citations

Jakub Kaczmarzyk, Soma Kobayashi, Tahsin Kurç, Joel Saltz, Rajarsi Gupta

Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression

UNC Libraries(2022)10.17615/yqef-6n73

N/A

0DataRank · unranked

0 citations

Melissa A. Troester, Soma Kobayashi, Sarah C. Van Alsten, Rajarsi Gupta, Katherine A. Hoadley +7 more

Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2023)10.1002/path.6155

N/A

0DataRank · unranked

53 citations

Glenn Broeckx, David B. Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos +95 more

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2023)10.1002/path.6165

N/A

0DataRank · unranked

51 citations

Glenn Broeckx, Chowdhury Arif Jahangir, Sara Verbandt, Rajarsi Gupta, Jeppe Thagaard +95 more

ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification

Computer Methods and Programs in Biomedicine(2023)10.1016/j.cmpb.2023.107631

N/A

0DataRank · unranked

16 citations

Rajarsi Gupta, Tahsin Kurç, Shahira Abousamra, Joel Saltz, Peter K. Koo +1 more

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning

Medical Image Analysis(2023)10.1016/j.media.2023.103070

N/A

0DataRank · unranked

11 citations

Srijan Das, Jingwei Zhang, Rajarsi Gupta, Joel Saltz, Dimitris Samaras +2 more

Initial interactions with the FDA on developing a validation dataset as a medical device development tool

The Journal of Pathology(2023)10.1002/path.6208

N/A

0DataRank · unranked

2 citations

Víctor García, Sarah Dudgeon, Matthew G. Hanna, Xiaoxian Li, Kim Blenman +10 more

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology

PubMed(2023)10.1109/cvpr52729.2023.00324

N/A

0DataRank · unranked

15 citations

Rajarsi Gupta, Tahsin Kurç, Dimitris Samaras, Joel Saltz, Chao Chen +1 more

Open and reusable deep learning for pathology with WSInfer and QuPath

arXiv (Cornell University)(2023)10.48550/arxiv.2309.04631

N/A

0DataRank · unranked

1 citations

Alan O’Callaghan, Fiona Inglis, Tahsin Kurç, Rajarsi Gupta, Erich Bremer +3 more

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology

arXiv (Cornell University)(2023)10.48550/arxiv.2304.02255

N/A

0DataRank · unranked

0 citations

Rajarsi Gupta, Tahsin Kurç, Dimitris Samaras, Joel Saltz, Chao Chen +1 more

Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2309.06439

N/A

0DataRank · unranked

0 citations

Srijan Das, Jingwei Zhang, Rajarsi Gupta, Joel Saltz, Dimitris Samaras +2 more

Open and reusable deep learning for pathology with WSInfer and QuPath

npj Precision Oncology(2024)10.1038/s41698-024-00499-9

N/A

0DataRank · unranked

25 citations

Alan O’Callaghan, Fiona Inglis, Swarad Gat, Tahsin Kurç, Rajarsi Gupta +4 more

Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2024)10.1002/path.6238

N/A

0DataRank · unranked

16 citations

David B. Page, Glenn Broeckx, Claudia Aura Gonzalez, Caoimbhe Burke, Clodagh Murphy +95 more

Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research

Histopathology(2024)10.1111/his.15140

N/A

0DataRank · unranked

9 citations

Víctor García, Kim Blenman, Anna Ehinger, Katherine Elfer, Matthew G. Hanna +16 more

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

PubMed(2024)10.1109/cvpr52733.2024.01067

N/A

0DataRank · unranked

13 citations

Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou +5 more

Uncertainty Estimation for Tumor Prediction with Unlabeled Data

PubMed(2024)10.1109/cvprw63382.2024.00688

N/A

0DataRank · unranked

2 citations

Shahira Abousamra, Li Chen, Rajarsi Gupta, Tahsin Kurç, Dimitris Samaras +4 more

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning

(2024)10.1109/bigdata62323.2024.10825083

N/A

0DataRank · unranked

1 citations

Sarthak Pati, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra +4 more

Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer

Medical Image Analysis(2025)10.1016/j.media.2025.103752

N/A

0DataRank · unranked

0 citations

Ruoyu Xue, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka +9 more

Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images

IEEE Transactions on Medical Imaging(2025)10.1109/tmi.2025.3609245

N/A

0DataRank · unranked

0 citations

Danielle Fassler, Rajarsi Gupta, Tahsin Kurç, Luisa F. Escobar‐Hoyos, Dimitris Samaras +4 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

UNC Libraries(2025)10.17615/k55d-nq81

N/A

0DataRank · unranked

0 citations

Qian Wang, Avinash Kori, Mahendra Khened, Tianhao Zhao, Keyvan Farahani +19 more

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

arXiv (Cornell University)(2025)10.1109/iccv51701.2025.01862

N/A

0DataRank · unranked

0 citations

Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi Gupta, Joel Saltz +3 more