Publications

  1. Dhruv Chamaria, Han Wenchao, McClintock David S., Tavolara Thomas E.. Replicability of large-scale studies in computational pathology SPIE Medical Imaging. 2025.
  2. Sumpena Edmund, Tavolara Thomas, Zarella Mark, Han Wenchao. Region of interest detection on breast immunohistochemistry images for end-to-end Ki-67 biomarker quantification Medical Imaging 2025: Digital and Computational Pathology. 2025.
  3. Tavolara TE, Han W, McClintock DS. An AI Model (LORIS) to Predict Immune Checkpoint Blockade Response in Cancer: A Clinical Data Science Perspective. Clin Chem. 2025 Mar 3; 71 (3):345-347
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  4. Macaulay DO, Han W, Zarella MD, Garcia CA, Tavolara TE. Enhancing HER2 testing in breast cancer: predicting fluorescence in situ hybridization (FISH) scores from immunohistochemistry images via deep learning. J Pathol Clin Res. 2025 Mar; 11 (2):e70024
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  5. Han Wenchao, Tavolara Thomas, Zarella Mark. FROG: An Unsupervised Deep Learning Framework for Scalable, Robust, and Generalizable End-to-end IHC Quantification Laboratory Investigation. 2025; 105(3):7.
  6. Alison MC, Wenchao H, Snow Z, Dan W, Vishwesh R, Owen Q, Anne LM, Martin JY. Spatial analysis of immune cells in breast cancer using k-nearest neighbor graphs and Louvain-community clustering of immunofluorescent protein multiplexing images SPIE International Workshop on Breast Imaging. 2024.
  7. Molna C, Tavolara TE, Garcia CA, McClintock DS, Zarella MD, Han W. IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis. Medical Imaging with Deep Learning. 2024.
  8. Ramanathan V, Han W, Bassiouny D, Rakovitch E, Martel AL. Ink removal in whole slide images using hallucinated data. Medical Imaging 2023: Digital and Computational Pathology. 2023.
  9. Han W, Cheung AM, Ramanathan V, Wang D, Liu K, Yaffe MJ, Martel AL. Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging. Medical Imaging 2023: Digital and Computational Pathology. 2023.
  10. Han W, Cheung AM, Wang D, Liu K, Yaffe MJ, Martel AL. Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens. Medical Imaging 2022: Digital and Computational Pathology. 2022.
  11. Han W, Cheung AM, Yaffe MJ, Martel AL. Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training. Sci Rep. 2022 Mar 15; 12 (1):4399
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  12. Han W, Johnson C, Warner A, Gaed M, Gomez JA, Moussa M, Chin J, Pautler S, Bauman G, Ward AD. Automatic cancer detection on digital histopathology images of mid-gland radical prostatectomy specimens. J Med Imaging (Bellingham). 2020 Jul; 7 (4):047501 Epub 2020 July 16
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  13. Han W, Johnson C, Gaed M, Gomez JA, Moussa M, Chin JL, Pautler S, Bauman GS, Ward AD. Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens. Sci Rep. 2020 Jun 18; 10 (1):9911 Epub 2020 June 18
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  14. Han W, Johnson C, Gaed M, Gomez JA, Moussa M, Chin JL, Pautler S, Bauman GS, Ward AD. Automatic high-grade cancer detection on prostatectomy histopathology images. Medical Imaging 2019: Digital Pathology. 2019.
  15. Han W, Johnson C, Gaed M, Gomez JA, Moussa M, Chin JL, Pautler SE, Bauman GS, Ward AD. Automatic cancer detection and localization on prostatectomy histopathology images. Medical Imaging 2018: Digital Pathology. 2018.