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

Autor: Kapse, Saarthak, Das, Srijan, Zhang, Jingwei, Gupta, Rajarsi R., Saltz, Joel, Samaras, Dimitris, Prasanna, Prateek

We propose DiRL, a Diversity-inducing Representation Learning technique for histopathology imaging. Self-supervised learning techniques, such as contrastive and non-contrastive approaches, have been shown to learn rich and effective representations o

Externí odkaz: http://arxiv.org/abs/2309.06439

Unsupervised Histopathology Image Synthesis

Autor: Hou, Le, Agarwal, Ayush, Samaras, Dimitris, Kurc, Tahsin M., Gupta, Rajarsi R., Saltz, Joel H.

Hematoxylin and Eosin stained histopathology image analysis is essential for the diagnosis and study of complicated diseases such as cancer. Existing state-of-the-art approaches demand extensive amount of supervised training data from trained patholo

Externí odkaz: http://arxiv.org/abs/1712.05021

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

Autor: Hou, Le, Nguyen, Vu, Kanevsky, Ariel B., Samaras, Dimitris, Kurc, Tahsin M., Zhao, Tianhao, Gupta, Rajarsi R., Gao, Yi, Chen, Wenjin, Foran, David, Saltz, Joel H.

Publikováno v: In Pattern Recognition February 2019 86:188-200

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

Autor: Page, David B, Broeckx, Glenn, Jahangir, Chowdhury Arif, Verbandt, Sara, Gupta, Rajarsi R, Thagaard, Jeppe, Khiroya, Reena, Kos, Zuzana, Abduljabbar, Khalid, Acosta Haab, Gabriela, Acs, Balazs, Akturk, Guray, Almeida, Jonas S, Alvarado-Cabrero, Isabel, Azmoudeh-Ardalan, Farid, Badve, Sunil, Baharun, Nurkhairul Bariyah, Bellolio, Enrique R, Bheemaraju, Vydehi, Blenman, Kim RM, Botinelly Mendonça Fujimoto, Luciana, Bouchmaa, Najat, Burgues, Octavio, Cheang, Maggie Chon U, Ciompi, Francesco, Cooper, Lee AD, Coosemans, An, Corredor, Germán, Dantas Portela, Flavio Luis, Deman, Frederik, Demaria, Sandra, Dudgeon, Sarah N, Elghazawy, Mahmoud, Ely, Scott, Fernandez-Martín, Claudio, Fineberg, Susan, Fox, Stephen B, Gallagher, William M, Giltnane, Jennifer M, Gnjatic, Sacha, Gonzalez-Ericsson, Paula I, Grigoriadis, Anita, Halama, Niels, Hanna, Matthew G, Harbhajanka, Aparna, Hardas, Alexandros, Hart, Steven N, Hartman, Johan, Hewitt, Stephen, Hida, Akira I, Horlings, Hugo M, Husain, Zaheed, Hytopoulos, Evangelos, Irshad, Sheeba, Janssen, Emiel, Kahila, Mohamed, Kataoka, Tatsuki R, Kawaguchi, Kosuke, Kharidehal, Durga, Khramtsov, Andrey I, Kiraz, Umay, Kirtani, Pawan, Kodach, Liudmila L, Korski, Konstanty, Kovács, Anikó, Laenkholm, Anne-Vibeke, Lang-Schwarz, Corinna, Larsimont, Denis, Lennerz, Jochen K, Lerousseau, Marvin, Li, Xiaoxian, Ly, Amy, Madabhushi, Anant, Maley, Sai K, Manur Narasimhamurthy, Vidya, Marks, Douglas K, McDonald, Elizabeth S, Mehrotra, Ravi, Michiels, Stefan, Minhas, Fayyaz ul Amir Afsar, Mittal, Shachi, Moore, David A, Mushtaq, Shamim, Nighat, Hussain, Papathomas, Thomas, Penault-Llorca, Frederique, Perera, Rashindrie D, Pinard, Christopher J, Pinto-Cardenas, Juan Carlos, Pruneri, Giancarlo, Pusztai, Lajos, Rahman, Arman, Rajpoot, Nasir Mahmood, Rapoport, Bernardo Leon, Rau, Tilman T, Reis-Filho, Jorge S, Ribeiro, Joana M, Rimm, David, Vincent-Salomon, Anne, Salto-Tellez, Manuel, Saltz, Joel, Sayed, Shahin, Siziopikou, Kalliopi P, Sotiriou, Christos, Stenzinger, Albrecht, Sughayer, Maher A, Sur, Daniel, Symmans, Fraser, Tanaka, Sunao, Taxter, Timothy, Tejpar, Sabine, Teuwen, Jonas, Thompson, E Aubrey, Tramm, Trine, Tran, William T, van der Laak, Jeroen, van Diest, Paul J, Verghese, Gregory E, Viale, Giuseppe, Vieth, Michael, Wahab, Noorul, Walter, Thomas, Waumans, Yannick, Wen, Hannah Y, Yang, Wentao, Yuan, Yinyin, Adams, Sylvia, Bartlett, John Mark Seaverns, Loibl, Sibylle, Denkert, Carsten, Savas, Peter, Loi, Sherene, Salgado, Roberto, Specht Stovgaard, Elisabeth

Externí odkaz: https://hdl.handle.net/11250/3118664

Robust Histopathology Image Analysis: to Label or to Synthesize?

Autor: Hou L; Stony Brook University., Agarwal A; Stony Brook University.; Stanford University, California., Samaras D; Stony Brook University., Kurc TM; Stony Brook University., Gupta RR; Stony Brook University., Saltz JH; Stony Brook University.

Publikováno v: Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition [Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit] 2019 Jun; Vol. 2019, pp. 8533-8542. Date of Electronic Publication: 2020 Jan 09.