Table of Contents

• Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imagingWenchao Han, Alison M. Cheung, Vishwesh Ramanathan, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel. [doi]
• Multi-scale local explanation approach for image analysis using model-agnostic Explainable Artificial Intelligence (XAI)Hooria Hajiyan, Mehran Ebrahimi. [doi]
• YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral imagesCarlos Vega, Laura Quintana, Samuel Ortega, Himar Fabelo, Esther Sauras, Noèlia Gallardo, Daniel Mata Cano, Marylène Lejeune, Carlos López 0002, Gustavo M. Callicó. [doi]
• Integrating color deconvolution thresholding and weakly supervised learning for automated segmentation of neurofibrillary tangle and neuropil threadsHyung S. Roh, David J. Irwin, Mónica Muñoz López, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan L. Bedard, John L. Robinson, Theresa Schuck, Emilio Artacho-Pérula, María del Mar Arroyo Jiménez, Maria del Pilar Marcos Rabal, Francisco Javier Molina Romero, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, Edward B. Lee, Daniel T. Ohm, Laura E. M. Wisse, David A. Wolk, James C. Gee, Ricardo Insausti, Paul A. Yushkevich, Min Chen 0006. [doi]
• Fast detection and localization of mitosis using a semi-supervised deep representationSantiago Castro, David Romo-Bucheli, Luis Guayacán, Fabio Martínez. [doi]
• Background detection affects downstream classification of Camelyon16 whole slide imagesThomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan. [doi]
• Accurate segmentation of nuclear instances using a double-stage neural networkKesi Xu, Mostafa Jahanifar, Simon Graham, Nasir M. Rajpoot. [doi]
• Role of stain normalization in computational pathology: use case in metastatic tissue classificationParas Goel, Saarthak Kapse, Prateek Prasanna. [doi]
• Quintet margin loss for an improved knowledge distillation in histopathology image analysisTrinh Thi Le Vuong, Jin Tae Kwak. [doi]
• Ki67 proliferation index quantification using silver standard masksSeyed Hossein Mirjahanmardi, Melanie Dawe, Anthony Fyles, Wei Shi, Dimitri Androutsos, Fei-Fei Liu, Susan Done, April Khademi. [doi]
• MIMO U-Net: efficient cell segmentation and counting in microscopy image sequencesPalak Dave, Yaroslav Kolinko, Hunter Morera, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton. [doi]
• On the benefits of region of interest detection for whole slide image classificationSena Korkut, Cihan Erkan, Selim Aksoy. [doi]
• Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF dataCan Cui 0006, Shunxing Bao, Jia Li 0027, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu 0024, Yuankai Huo. [doi]
• A novel H&E color augmentation for domain invariance classification of unannotated histopathology prostate cancer imagesRoozbeh Bazargani, Wanwen Chen, Sadaf Sadeghian, Maryam Asadi, Jeffrey Boschman, Amirali Darbandsari, Ali Bashashati, Septimiu E. Salcudean. [doi]
• Automated glioma multiclass tumor classificationMonika Pytlarz, K. Wojnicki, P. Pilanc, B. Kaminska, Alessandro Crimi. [doi]
• Multi-scale contrastive learning with attention for histopathology image classificationJing wei Tan, Khoa Tuan Nguyen, Kyoungbun Lee, Won-Ki Jeong. [doi]
• Analysing hyperplasia in Atlantic salmon gills using empirical waveletsAlexander F. B. Carmichael, Johanna L. Baily, Aaron Reeves, Gabriela Ochoa, Annette S. Boerlage, George J. Gunn, Rosa Allshire, Deepayan Bhowmik. [doi]
• Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentationMilda Poceviciute, Gabriel Eilertsen, Claes Lundström. [doi]
• An ensemble approach for histopathological classification of vulvar cancerRaghava Vinaykanth Mushunuri, Matthias Choschzick, Ulf-Dietrich Braumann, Juergen Hess. [doi]
• A comparison of histopathology imaging comprehension algorithms based on multiple instance learningAdam Saunders, Sajal Dash, Aristeidis Tsaris, Hong-Jun Yoon. [doi]
• Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networksXu Lei 0003, Fahad Parvez Mahdi, Ze Jin, Hao Sun, Yoshiyuki Noguchi, Masayuki Murata, Kenji Suzuki 0001. [doi]
• Deep-supervised adversarial learning-based classification for digital histologic imagesZhimin Wang, Zong Fan, Lulu Sun, Yao Hao, Hiram A. Gay, Wade L. Thorstad, Xiaowei Wang, Hua Li 0003. [doi]
• Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphomaThomas E. Tavolara, M. Khalid Khan Niazi, David Jaye, Christopher Flowers, Lee Cooper 0001, Metin N. Gurcan. [doi]
• Interpretable graph convolutional network enables triple negative breast cancer detection in imaging mass cytometryPeng Lu, Karolyn A. Oetjen, Daniel L. J. Thorek. [doi]
• Deep learning segmentation of invasive melanomaAman Shah, Amal Mehta, Michael Wang, Neil Neumann, Avideh Zakhor, Timothy McCalmont. [doi]
• Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology imagesBrennan T. Flannery, Priti Lal, Michael D. Feldman, María Natalizio, Juan C. Santa-Rosario, Anant Madabhushi. [doi]
• Combining multiple ground truth annotations for segmentation training for oral cavity cancerJonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle. [doi]
• Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imagingSourya Sengupta, Michael John Fanous, Hua Li 0003, Mark A. Anastasio. [doi]
• A video transformer network for thyroid cancer detection on hyperspectral histologic imagesMinh Ha Tran, Ofelia Gomez, Baowei Fei. [doi]
• A transformer-based computational approach for H&E to multiplexed immunohistochemistry stain translationChang Bian, Tim Cootes, Martin Fergie. [doi]
• A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkersGabriel Jimenez 0001, Pablo Mas, Anuradha Kar, Julien Peyrache, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu. [doi]
• A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancerShayan Monabbati, Sirvan Khalighi, Pingfu Fu, Sylvia Asa, Anant Madabhushi. [doi]
• Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imagingShunxing Bao, Can Cui 0006, Jia Li 0027, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu 0010, Qi Yang 0004, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu 0024, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo. [doi]
• Generative modeling of histology tissue reduces human annotation effort for segmentation model developmentBrendon Lutnick, Nicholas J. Lucarelli, Pinaki Sarder. [doi]
• Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypesAlison M. Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen 0001, Anne L. Martel, Arun Seth, Martin J. Yaffe. [doi]
• Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility studySeyed M. M. Kahaki, Ian S. Hagemann, Kenny H. Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen 0007. [doi]
• Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancerYufei Zhou, Can Koyuncu 0001, Cristian Barrera, Germán Corredor, Xiangxue Wang, Cheng Lu 0001, Anant Madabhushi. [doi]
• PythoStitcher: an iterative approach for stitching digitized tissue fragments into full resolution whole-mount reconstructionsDaan N. Schouten, Geert J. S. Litjens. [doi]
• Deep learning combined with ball scale transform for circulating tumor cell enumeration in digital pathologyLeihui Tong, Yuan Wan. [doi]
• Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology imagesArian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen 0007. [doi]
• Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarkerGermán Corredor, Can Koyuncu 0001, Andrew Janowczyk, Paula Toro, Sepideh Azarianpour, James S. Lewis Jr., Anant Madabhushi. [doi]
• Conditional generative adversarial network (cGAN) for synthesis of digital histologic images from hyperspectral imagesLing Ma, Jeremy Sherey, Doreen Palsgrove, Baowei Fei. [doi]
• Efficient 3D reconstruction of whole slide images in melanomaJ. Arslan, Mehdi Ounissi, H. Luo, M. Lacroix, P. Dupré, P. Kumar, Arran Hodgkinson, S. Dandou, Romain M. Larive, C. Pignodel, L. Le Cam, Ovidiu Radulescu, Daniel Racoceanu. [doi]
• Translating computational innovations into reality: focus on the users!Elizabeth A. Krupinski. [doi]
• Self-supervised deep learning to predict molecular markers from routine histopathology slides for high-grade glioma tumorsOlivia Krebs, Shobhit Agarwal, Pallavi Tiwari. [doi]
• Deep modality association learning using histopathology images and immune cell sequencing dataAreej Alsaafin, Morteza Babaie, Hamid R. Tizhoosh. [doi]
• Predicting cell type counts in whole slide histology images using evidential multi-task learningNaga Raju Gudhe, Mazen Sudah, Arto Mannermaa, Veli-Matti Kosma, Hamid Behravan. [doi]
• The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16Thomas E. Tavolara, Metin N. Gurcan, M. Khalid Khan Niazi. [doi]
• Automated identification of cardiomyocyte nuclei in H&E-stained heart tissue with CycleGANMichael H. Udin, Scott T. Doyle, Ciprian N. Ionita, Umesh C. Sharma, Saraswati Pokharel. [doi]
• Spatially aware transformer networks for contextual prediction of diabetic nephropathy progression from whole slide imagesBenjamin Shickel, Nicholas J. Lucarelli, Adish Rao, Donghwan Yun, Kyung Chul Moon, Seung Seok Han, Pinaki Sarder. [doi]
• Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labelsLucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui 0006, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman. [doi]
• Space-filling curves for modeling spatial context in transformer-based whole slide image classificationCihan Erkan, Selim Aksoy. [doi]
• Extended depth of field imaging for mosaic hyperspectral imagesArmand Rathgeb, Ling Ma 0004, Minh Tran, Baowei Fei. [doi]
• Investigating the potential of untrained convolutional layers and pruning in computational pathologyTaranpreet Rai, Ioannis Papanikolaou, N. Dave, A. Morisi, B. Bacci, Spencer Angus Thomas, R. M. La Ragione, Kevin Wells. [doi]
• An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image levelHaoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo. [doi]
• Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learningThomas E. Tavolara, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi. [doi]
• Automated reference kidney histomorphometry using a panoptic segmentation neural network correlates to patient demographics and creatinineBrandon Ginley, Nicholas J. Lucarelli, Jarcy Zee, Sanjay Jain 0006, Seung Seok Han, Luis Rodrigues, Michelle L. Wong, Kuang-Yu Jen, Pinaki Sarder. [doi]
• Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applicationsThomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan. [doi]
• Improving quantification of renal fibrosis using deep-DUETSamuel P. Border, Avi Rosenberg, Jarcy Zee, Richard M. Levenson 0001, Kuang-Yu Jen, Pinaki Sarder, Farzad Fereidouni. [doi]
• Category feature reconstruction for pathological image segmentationZhibang Zhou, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen 0001. [doi]
• Ink removal in whole slide images using hallucinated dataVishwesh Ramanathan, Wenchao Han, Dina Bassiouny, Eileen Rakovitch, Anne L. Martel. [doi]
• Digital pathology whole slide image compression with vector quantized variational autoencodersJason Keighley, Marc de Kamps, Alexander I. Wright, Darren Treanor. [doi]
• Enhanced pooling-convolution for pathological image multi-class segmentationHao Wu, Xinjian Chen 0001, Weifang Zhu, Fei Shi, Dehui Xiang. [doi]
• Deep learning-based rapid macrophage cell detection and localization in high-content microscopy screeningKristen Ong, Xuezhu Cai, Vasant Marur, Veronica Soloveva, Uwe Mueller, Antong Chen. [doi]
• An end-to-end pipeline for 3D slide-wise multi-stain renal pathology registrationPeize Li, Ruining Deng, Yuankai Huo. [doi]
• Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learningJack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar. [doi]
• Multifocal optical metasurfaces for cellular-resolution optical coherence tomography for rapid slide-free histology of human brain and skin samplesJingjing Zhao, Aidan Van Vleck, Yonatan Winetraub, Lin Du, Yong Han, Sumaira Aasi, Kavita Yang Sarin, Adam de la Zerda. [doi]
• Generation of RGB EVG stained image from hyperspectral H&E stained image using generative adversarial network (GAN)Tanwi Biswas, Hiroyuki Suzuki, Masahiro Ishikawa, Naoki Kobayashi 0009, Takashi Obi. [doi]
• Cell2Voxel: a novel, cell-based 3D tissue model from 2D multiplex tissue scansLaurin Herbsthofer, Barbara Ehall, Martina Tomberger, Barbara Prietl, Thomas R. Pieber, Pablo López-García. [doi]
• Single-cell gene expression prediction using H&E images based on spatial transcriptomicsChao-Hui Huang, Yoson Park, Jincheng Pang, Jadwiga R. Bienkowska. [doi]
• Front Matter: Volume 12471 [doi]