The AIDP workshop will be held in conjunction with the ICPR main conference, that will use the  UNDERLINE web platform to run the entire ICPR on-line event. The AIDP workshop will receive a private individual zoom link that will provide a workshop private virtual room for the whole duration of the event. From the UNDERLINE platform any registered person will have the possibility to join the workshop.


All presentations will be oral. Time at disposal for Oral Presentations will be 20 minutes. Each slot will be split in 15 minutes for the presentation itself and 5 minutes for questions from the audience. The invited Lecturer will have the first slot of 1 hour including questions. English will be the official language for the conference. The language of the presentations (the slides) is English. The presenters, who want to share their material are kindly asked to provide the slides (pdf) in advance.

The entire workshop event will be registered using the classic ZOOM recording modality.


Participants

AIDP2021-Screen


Program

International Workshop on Artificial Intelligence for Digital Pathology (AIDP 2021)

January 10, 2021

12:00 - 16:00

Program

Time line

Talk

Authors

12:00 - 12:15

Opening

Organizers

12:15 - 13:15

Invited Talk

Nasir Rajpoot, University of Warwick, UK.

13:15 - 13:35

Noise-Robust Training of Segmentation model using Knowledge Distillation

 

Geetank Raipuria, Saikiran Bonthu, and Nitin Singhal

13:40 - 14:00

Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations

Niccolo Marini, Sebastian Otalora, Henning Muller, and Manfredo Atzori

14:05 - 14:25

Self-Attentive Adversarial Stain Normalization

Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice Amadi, Paul Kelly, Sana Syed, and Donald E. Brown

14:30 - 14:50

Certainty Pooling for Multiple Instance Learning

 

Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, and Eldad Klaiman

 

14:55 - 15:15

Classification of noisy free-text prostate cancer pathology reports using natural language processing

 

Anjani Dhrangadhariya, Sebastian Otalora, Manfredo Atzori, and Henning Muller

 

15:20 - 15:40

AI slipping on tiles: data leakage in digital pathology

 

Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, and Cesare Furlanello

 

15:40 - 16:00

Discussion and closing

Organizers




Materials

Presentations

Authors

Title

Link

 

Nasir Rajpoot, University of Warwick, UK.

Invited Talk

 

Geetank Raipuria, Saikiran Bonthu, and Nitin Singhal

Noise-Robust Training of Segmentation model using Knowledge Distillation

 

Paper 02

Niccolò Marini, Sebastian Otàlora, Henning Müller, and Manfredo Atzori

Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations

Paper 03

Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice Amadi, Paul Kelly, Sana Syed, and Donald E. Brown

Self-Attentive Adversarial Stain Normalization

Paper 04

Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, and Eldad Klaiman

Certainty Pooling for Multiple Instance Learning

Paper 05

Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, and Henning Müller

 

Classification of noisy free-text prostate cancer pathology reports using natural language processing

 

Paper 07

Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, and Cesare Furlanello

AI slipping on tiles: data leakage in digital pathology

Paper 11