Fu, Pingfu

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Barrera, Cristian; Corredor, Germán; Viswanathan, Vidya Sankar; Ding, Ruiwen; Toro, Paula; Fu, Pingfu; Buzzy, Christina; Lu, Cheng; Velu, Priya; Zens, Philipp; Berezowska, Sabina; Belete, Merzu; Balli, David; Chang, Han; Baxi, Vipul; Syrigos, Konstantinos; Rimm, David L; Velcheti, Vamsidhar; Schalper, Kurt; Romero, Eduardo; ... (2023). Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer. NPJ precision oncology, 7(1), p. 52. Springer Nature 10.1038/s41698-023-00403-x

Wang, Xiangxue; Bera, Kaustav; Barrera, Cristian; Zhou, Yu; Lu, Cheng; Vaidya, Pranjal; Fu, Pingfu; Yang, Michael; Schmid, Ralph Alexander; Berezowska, Sabina; Choi, Humberto; Velcheti, Vamsidhar; Madabhushi, Anant (2021). A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer. EBioMedicine, 69(103481), p. 103481. Elsevier 10.1016/j.ebiom.2021.103481

Li, Lin; Shiradkar, Rakesh; Leo, Patrick; Algohary, Ahmad; Fu, Pingfu; Tirumani, Sree Harsha; Mahran, Amr; Buzzy, Christina; Obmann, Verena C.; Mansoori, Bahar; El-Fahmawi, Ayah; Shahait, Mohammed; Tewari, Ashutosh; Magi-Galluzzi, Cristina; Lee, David; Lal, Priti; Ponsky, Lee; Klein, Eric; Purysko, Andrei S. and Madabhushi, Anant (2021). A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI. EBioMedicine, 63, p. 103163. Elsevier 10.1016/j.ebiom.2020.103163

Lu, Cheng; Bera, Kaustav; Wang, Xiangxue; Prasanna, Prateek; Xu, Jun; Janowczyk, Andrew; Beig, Niha; Yang, Michael; Fu, Pingfu; Lewis, James; Choi, Humberto; Schmid, Ralph; Berezowska, Sabina; Schalper, Kurt; Rimm, David; Velcheti, Vamsidhar; Madabhushi, Anant (2020). A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. The Lancet. Digital health, 2(11), e594-e606. Elsevier 10.1016/s2589-7500(20)30225-9

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