Program

Time zone: UCT

9:00Opening
 SESSION 1 – Chair: Henning Müller 
9:10Keynote presentation
AI in pathology: promise and potential
Monika Lamba Saini (CellCarta, Belgium)  
9:40Oral presentations
Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images
Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani

Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohorts
Johannes Höhne, Jacob de Zoete, Arndt A Schmitz, Tricia Bal, Emmanuelle di Tomaso, Matthias Lenga
10:10Q/A session oral presentations
10:25Software demo pitches
A practical guide to using HookNet
Mart van Rijthoven  

Stainlib: a python library for augmentation and normalization of histopathology H&E images
Niccolò Marini 

Multi_Scale_Tools: a python library to exploit multi-scale whole slide images
Niccolò Marini

HistoQC
Andrew Janowczyk

QuickAnnotator
Andrew Janowczyk

PatchSorter
Andrew Janowczyk
 10:35Poster & software demo session #1 
Posters
Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images
Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan
 
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani
 
Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohorts
Johannes Höhne, Jacob de Zoete, Arndt A Schmitz, Tricia Bal, Emmanuelle di Tomaso, Matthias Lenga
 
End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma
Joshua Butke, Tatjana Frick, Florian Roghmann, Samir El-Mashtoly, Klaus Gerwert, Axel Mosig
 
Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset
Paul Tourniaire, Nicholas Ayache, Hervé Delingette
 
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosis
Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen
 
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling
Chaoqun Li, Yitian Zhou, Tangqi Shi, Yenan Wu, Meng Yang, Zhongyu Li
 
Creating small but meaningful representations of digital pathology images
Corentin Guerendel, Phil Arnold, Benjamin Torben-Nielsen
 
Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone
Samaneh Abbasi Sureshjani, Anil Yuce, Simon Till Schönenberger, Maris Skujevskis, Uwe Schalles, Fabien Gaire, Konstanty Korski
 
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-type Classification Using Pathological Image
Mengkang Lu, Yongsheng Pan, Dong Nie, Feng Shi, Feihong Liu, Yong Xia, Dinggang Shen
 
Software demos
 A practical guide to using HookNet
Mart van Rijthoven
 
Stainlib: a python library for augmentation and normalization of histopathology H&E images
Multi_Scale_Tools: a python library to exploit multi-scale whole slide images
Niccolò Marini
  
 SESSION 2 – Chair: Jeroen van der Laak 
11:45Keynote presentation
Taking AI to the next level with Data Centric approach in Computational Pathology
Chen Sagiv (DeePathology.ai, Israel)
12:15Oral presentations
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification
Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios
 
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images
Afshin Bozorgpour, Reza Azad, Eman Showkatian, Alaa Sulaiman

 
Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images
Hanyun Zhang, Tami Grunewald, Ayse U. Akarca, Teresa Marafioti, Jonathan A. Ledermann, Yinyin Yuan
12:45Q/A session oral presentations
13:00Lunch break
   
 SESSION 3 – Chair: Mitko Veta 
14:00Keynote presentation
Data-efficient and multimodal computational pathology
Faisal Mahmood (Harvard Medical School)  
14:30Oral presentations
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jegou
 
Automatic and explainable grading of meningiomas from histopathology images
Jonathan Ganz, Tobias Kirsch, Christof Albert Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
 
Robust quad-tree based registration of whole slide images
Christian Marzahl, Frauke Wilm, Christine Kröger, Franz F Dressler, Lars Tharun, Sven Perner, Christof Bertram, Jörn Voigt, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger  
 15:15Poster and software demo session #2 
Posters
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification
Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios
 
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images
Afshin Bozorgpour, Reza Azad, Eman Showkatian, Alaa Sulaiman
 
Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images
Hanyun Zhang, Tami Grunewald, Ayse U. Akarca, Teresa Marafioti, Jonathan A. Ledermann, Yinyin Yuan
 
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jegou
 
Automatic and explainable grading of meningiomas from histopathology images
Jonathan Ganz, Tobias Kirsch, Christof Albert Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
 
Robust quad-tree based registration of whole slide images
Christian Marzahl, Frauke Wilm, Christine Kröger, Franz F Dressler, Lars Tharun, Sven Perner, Christof Bertram, Jörn Voigt, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
 
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Gianziana Buttafuoco, Manfredo Atzori, Henning Müller
 
Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images
Benjamin Bancher, Amirreza Mahbod, Isabella Ellinger, Rupert Ecker, Georg Dorffner
 
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
 
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net
Qing Xu, Wenting Duan
 
Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data
Amaury Leroy, Kumar Shreshtha, Marvin Lerousseau, Théophraste Henry, Théo ESTIENNE, Marion Classe, Nikos Paragios, Vincent Grégoire, Eric Deutsch
 
Deep Learning for interpretable end-to-end survival prediction in gastrointestinal cancer histopathology
Narmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Volkmar Schulz, Jakob Nikolas Kather
 
A Novel Cell Map Representation for Weakly Supervised Prediction of ER and PR Status from H&E WSIs
Hammam Alghamdi, Navid Alemi Koohbanani, Nasir Rajpoot, SHAN E AHMED RAZA
 
Software demos
HistoQC
QuickAnnotator
PatchSorter
Andrew Janowczyk
 16:45PANEL DISCUSSION – Chairs: Nasir Rajpoot, Francesco Ciompi 
Invited panelists:
– Katherine Elfer (FDA)
– Chen Sagiv (DeePathology.ai)
– Roberto Salgado (TIL Working Group)
– Inti Zlobec (University of Bern)
– Faisal Mahmood (Harvard Medical School)
– Monika Lamba Saini (CellCarta)
17:45
17:55
Awards
Management team presentation & closing