A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images by Sohail, Anabia, Khan, Asifullah, Wahab, Noorul, Zameer, Aneela, Khan, Saranjam

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Transfer learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images by Wahab, Noorul, Khan, Asifullah, Lee, Yeon Soo

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Multifaceted fused-CNN based scoring of breast cancer whole-slide histopathology images by Wahab, Noorul, Khan, Asifullah

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Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations by Wahab, Noorul, Miligy, Islam M, Dodd, Katherine, Sahota, Harvir, Toss, Michael, Lu, Wenqi, Jahanifar, Mostafa, Bilal, Mohsin, Graham, Simon, Park, Young, Hadjigeorghiou, Giorgos, Bhalerao, Abhir, Lashen, Ayat G, Ibrahim, Asmaa Y, Katayama, Ayaka, Ebili, Henry O, Parkin, Matthew, Sorell, Tom, Raza, Shan E Ahmed, Hero, Emily, Eldaly, Hesham, Tsang, Yee Wah, Gopalakrishnan, Kishore, Snead, David, Rakha, Emad, Rajpoot, Nasir, Minhas, Fayyaz

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AI‐based intra‐tumor heterogeneity score of Ki67 expression as a prognostic marker for early‐stage ER+/HER2− breast cancer by Lu, Wenqi, Lashen, Ayat G, Wahab, Noorul, Miligy, Islam M, Jahanifar, Mostafa, Toss, Michael, Graham, Simon, Bilal, Mohsin, Bhalerao, Abhir, Atallah, Nehal M, Makhlouf, Shorouk, Ibrahim, Asmaa Y, Snead, David, Minhas, Fayyaz, Raza, Shan E Ahmed, Rakha, Emad, Rajpoot, Nasir

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Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection by Wahab, Noorul, Khan, Asifullah, Lee, Yeon Soo

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Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM) by Khan, Saranjam, Ullah, Rahat, Khan, Asifullah, Wahab, Noorul, Bilal, Muhammad, Ahmed, Mushtaq

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Random Forest-Based Evaluation of Raman Spectroscopy for Dengue Fever Analysis by Khan, Saranjam, Ullah, Rahat, Khan, Asifullah, Sohail, Anabia, Wahab, Noorul, Bilal, Muhammad, Ahmed, Mushtaq

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A recent survey on the applications of genetic programming in image processing by Khan, Asifullah, Qureshi, Aqsa Saeed, Wahab, Noorul, Hussain, Mutawarra, Hamza, Muhammad Yousaf

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Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification by Graham, Simon, Jahanifar, Mostafa, Azam, Ayesha, Nimir, Mohammed, Tsang, Yee-Wah, Dodd, Katherine, Hero, Emily, Sahota, Harvir, Tank, Atisha, Benes, Ksenija, Wahab, Noorul, Minhas, Fayyaz, Raza, Shan E Ahmed, El Daly, Hesham, Gopalakrishnan, Kishore, Snead, David, Rajpoot, Nasir

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Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence by Makhlouf, Shorouk, Wahab, Noorul, Toss, Michael, Ibrahim, Asmaa, Lashen, Ayat G., Atallah, Nehal M., Ghannam, Suzan, Jahanifar, Mostafa, Lu, Wenqi, Graham, Simon, Mongan, Nigel P., Bilal, Mohsin, Bhalerao, Abhir, Snead, David, Minhas, Fayyaz, Raza, Shan E. Ahmed, Rajpoot, Nasir, Rakha, Emad

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Characterization of Breast Cancer Intra-Tumor Heterogeneity Using Artificial Intelligence by Lashen, Ayat G, Wahab, Noorul, Toss, Michael, Miligy, Islam, Ghanaam, Suzan, Makhlouf, Shorouk, Atallah, Nehal, Ibrahim, Asmaa, Jahanifar, Mostafa, Lu, Wenqi, Graham, Simon, Bilal, Mohsin, Bhalerao, Abhir, Mongan, Nigel P, Minhas, Fayyaz, Raza, Shan E Ahmed, Provenzano, Elena, Snead, David, Rajpoot, Nasir, Rakha, Emad A

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AI-enabled routine H E image based prognostic marker for early-stage luminal breast cancer by Noorul Wahab, Michael Toss, Islam M. Miligy, Mostafa Jahanifar, Nehal M. Atallah, Wenqi Lu, Simon Graham, Mohsin Bilal, Abhir Bhalerao, Ayat G. Lashen, Shorouk Makhlouf, Asmaa Y. Ibrahim, David Snead, Fayyaz Minhas, Shan E. Ahmed Raza, Emad Rakha, Nasir Rajpoot

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AI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer by Wahab, Noorul, Toss, Michael, Miligy, Islam M., Jahanifar, Mostafa, Atallah, Nehal M., Lu, Wenqi, Graham, Simon, Bilal, Mohsin, Bhalerao, Abhir, Lashen, Ayat G., Makhlouf, Shorouk, Ibrahim, Asmaa Y., Snead, David, Minhas, Fayyaz, Raza, Shan E. Ahmed, Rakha, Emad, Rajpoot, Nasir

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Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study by Bilal, Mohsin, Tsang, Yee Wah, Ali, Mahmoud, Graham, Simon, Hero, Emily, Wahab, Noorul, Dodd, Katherine, Sahota, Harvir, Wu, Shaobin, Lu, Wenqi, Jahanifar, Mostafa, Robinson, Andrew, Azam, Ayesha, Benes, Ksenija, Nimir, Mohammed, Hewitt, Katherine, Bhalerao, Abhir, Eldaly, Hesham, Raza, Shan E Ahmed, Gopalakrishnan, Kishore, Minhas, Fayyaz, Snead, David, Rajpoot, Nasir

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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 Cance... by Page, David B, Broeckx, Glenn, Jahangir, Chowdhury Arif, 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, Bellolio, Enrique R, Bheemaraju, Vydehi, Blenman, Kim RM, Bouchmaa, Najat, Burgues, Octavio, Cheang, Maggie Chon U, Ciompi, Francesco, Coosemans, An, Corredor, Germán, Dantas Portela, Flavio Luis, Deman, Frederik, Demaria, Sandra, Dudgeon, Sarah N, Elghazawy, Mahmoud, Fernandez-Martín, Claudio, 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, Hewitt, Stephen, Hida, Akira I, Horlings, Hugo M, Husain, Zaheed, Hytopoulos, Evangelos, Irshad, Sheeba, Kahila, Mohamed, Kataoka, Tatsuki R, Kawaguchi, Kosuke, Kiraz, Umay, Kodach, Liudmila L, Kovács, Anikó, Laenkholm, Anne-Vibeke, Lang-Schwarz, Corinna, Lerousseau, Marvin, Li, Xiaoxian, Marks, Douglas K, McDonald, Elizabeth S, Mehrotra, Ravi, Mittal, Shachi, Moore, David A, Mushtaq, Shamim, Nighat, Hussain, Papathomas, Thomas, Penault-Llorca, Frederique, Perera, Rashindrie D, Pinard, Christopher J, Pinto-Cardenas, Juan Carlos, Pusztai, Lajos, Rajpoot, Nasir Mahmood, Rapoport, Bernardo Leon, Reis-Filho, Jorge S, Ribeiro, Joana M, Rimm, David, Vincent-Salomon, Anne, Salto-Tellez, Manuel, Saltz, Joel, Sayed, Shahin, Siziopikou, Kalliopi P, Sughayer, Maher A, Sur, Daniel, Tanaka, Sunao, Taxter, Timothy, Tejpar, Sabine, Teuwen, Jonas, Thompson, E Aubrey, van Diest, Paul J, Verghese, Gregory E, Walter, Thomas, Waumans, Yannick, Wen, Hannah Y, Yang, Wentao, Adams, Sylvia, Bartlett, John Mark Seaverns, Loibl, Sibylle, Denkert, Carsten, Savas, Peter, Loi, Sherene, Salgado, Roberto, Specht Stovgaard, Elisabeth

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Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group by Thagaard, Jeppe, Broeckx, Glenn, Page, David B, Jahangir, Chowdhury Arif, Verbandt, Sara, Kos, Zuzana, Gupta, Rajarsi, Abduljabbar, Khalid, Acosta Haab, Gabriela, Acs, Balazs, Akturk, Guray, Almeida, Jonas S, Azmoudeh-Ardalan, Farid, Badve, Sunil, Baharun, Nurkhairul Bariyah, Bellolio, Enrique R, Bheemaraju, Vydehi, Blenman, Kim RM, Botinelly Mendonça Fujimoto, Luciana, Burgues, Octavio, Chon U Cheang, Maggie, Ciompi, Francesco, Coosemans, An, Corredor, Germán, Dahl, Anders B, Dantas Portela, Flavio Luis, Deman, Frederik, Demaria, Sandra, Dudgeon, Sarah N, Ebstrup, Thomas, Elghazawy, Mahmoud, Gallagher, William M, Grigoriadis, Anita, Halama, Niels, Hart, Steven N, Hartman, Johan, Hewitt, Stephen, Hida, Akira I, Husain, Zaheed, Hytopoulos, Evangelos, Irshad, Sheeba, Janssen, Emiel, Kataoka, Tatsuki R, Kharidehal, Durga, Khramtsov, Andrey I, Kiraz, Umay, Kirtani, Pawan, Korski, Konstanty, Lang-Schwarz, Corinna, Larsimont, Denis, Lennerz, Jochen K, Li, Xiaoxian, Ly, Amy, Madabhushi, Anant, Maley, Sai K, Manur Narasimhamurthy, Vidya, Michiels, Stefan, Minhas, Fayyaz ul Amir Afsar, Mittal, Shachi, Moore, David A, Mushtaq, Shamim, Nighat, Hussain, Papathomas, Thomas, Pinard, Christopher J, Pinto-Cardenas, Juan Carlos, Pruneri, Giancarlo, Pusztai, Lajos, Rau, Tilman T, Ribeiro, Joana M, Roslind, Anne, Vincent-Salomon, Anne, Salto-Tellez, Manuel, Saltz, Joel, Scott, Ely, Siziopikou, Kalliopi P, Sughayer, Maher A, Sur, Daniel, Fineberg, Susan, 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, Yuan, Yinyin, Adams, Sylvia, Bartlett, John, Savas, Peter, Loi, Sherene, Salgado, Roberto, Specht Stovgaard, Elisabeth

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A Recent Survey on the Applications of Genetic Programming in Image Processing by Khan, Asifullah, Aqsa Saeed Qureshi, Wahab, Noorul, Hussain, Mutawara, Muhammad Yousaf Hamza

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Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification by Graham, Simon, Jahanifar, Mostafa, Azam, Ayesha, Nimir, Mohammed, Yee-Wah Tsang, Dodd, Katherine, Hero, Emily, Sahota, Harvir, Tank, Atisha, Benes, Ksenija, Wahab, Noorul, Minhas, Fayyaz, Ahmed Raza, Shan E, Hesham El Daly, Gopalakrishnan, Kishore, Snead, David, Rajpoot, Nasir

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Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations by Wahab, Noorul, Miligy, Islam M, Dodd, Katherine, Sahota, Harvir, Toss, Michael, Lu, Wenqi, Jahanifar, Mostafa, Mohsin Bilal, Graham, Simon, Park, Young, Hadjigeorghiou, Giorgos, Bhalerao, Abhir, Lashen, Ayat, Ibrahim, Asmaa, Katayama, Ayaka, Ebili, Henry O, Parkin, Matthew, Sorell, Tom, Ahmed Raza, Shan E, Hero, Emily, Eldaly, Hesham, Tsang, Yee Wah, Gopalakrishnan, Kishore, Snead, David, Rakha, Emad, Rajpoot, Nasir, Minhas, Fayyaz

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