#PathVisions21 Poster Presentations

 

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POSTER TITLE

1

A Deep Learning method for Tumour Region Identification and Tumour Proportion Score Estimation of PD-L1 Expression in Non- Small Cell Lung Carcinoma

2

Enhancing Histological Tissue and Cell Characterization with Simultaneous Gene Expression and Protein Measurements

3

Single-Section Multiomics Mapped Across FFPE Tissue

4

Assessment of Digital Image Focus Quality using Heat Map Visualization

5

The Baylor College of Medicine Digital Transformation

6

A framework for building robust deep-learning models against out-of-focus artifact in whole-slide images

7

Use of UNet Model and HALO to Accelerate Deep Learning Algorithm Development in Duplex IHC Assay for ER-PR

8

Deployment of a deep learning model to assist pathologists with donor kidney biopsy evaluation

9

A Robust Deep Learning Approach for Precisely Segmenting Cells in Multiplex Tissue Images

10

Embracing digital and computational pathology during residency training: Perspectives from two former anatomic pathology residents

11

Pathology resident experience using a low-cost 3D printed microscope for portable digital pathology

12

Synthetic data in machine learning for pathology

13

AI-based pathology predicts origins for cancers of unknown primary

14

AI-based Fast and Scalable Image Search for Rare Disease Diagnosis

15

Weakly supervised and interpretable computational pathology model predicts amyotrophic lateral sclerosis in CD68 and pTDP-43 IHC-stained whole slide images

16

Benford's Law in digital pathology

17

Communicating Digital Pathology

18

Tumoral Aware Deep Learning Algorithm For Automatic KI67 Scoring

19

Intraepithelial lymphocytosis quantification by machine learning in celiac disease. A CELAC study

20

Automated nerve identification in histopathology slides enables comprehensive analysis of innervation in cancer and tumor neurobiology

21

Unveiling the spatial organization of tumor-infiltrating lymphocytes and correlation to clinical outcomes using deep learning in ER positive breast cancer

22

Virtual Centralized Pathology = More Accurate Patient Data

23

Identification and classification of morphological phenotypes in nature and in cancer

24

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

25

AI System for Reducing Inter-Observer Variability in Endomyocardial Biopsy Assessment

26

Multimodal AI-based assessment of renal allograft biopsies

27

Deep Learning-based Integration of Histology and Radiology for Improved Survival Outcome Prediction in Glioma Patients

28

A 3D printed embedded AI-based microscope for pathology diagnosis

29

Semi-automatic segmentation workflow for multiplexed ion beam imaging

30

Towards Semantic Encoding in Digital Pathology using Weakly Supervised Learning Strategies

31

Evaluation of Domain Specific Encoding Strategies as Compared to Transfer Learning Approaches in Digital Pathology

32

Using Progressive Context Encoders for Anomaly Detection in Digital Pathology Images

33

Dicom_wsi: A Python Implementation for Converting Whole-Slide Images to Digital Imaging and Communications in Medicine Compliant Files

34

Robotic intelligent scanning with in-line quality assessment successfully digitized 24K histopathology archival slides with minimal human intervention

35

AI vs. Microscope in Primary Diagnosis: Novel AI-Based Solution Increases the Efficiency and Accuracy of Prostate Biopsies Reporting

36

Developing an explainable AI model for diagnosis and prognosis in interstitial lung disease

37

Toward placental region identification and blood vessel classification using machine learning

38

Beyond saliency heatmaps: explaining deep-learning nucleus classification with intuitive decision tree approximations

39

Optimization and validation of immunohistochemical assays for the detection of TREM2 and evaluation by image analysis in FFPE human tissue

40

Deep multi-instance learning for predicting mismatch repair deficiency in colon biopsies

41

Deep multi-instance learning for classifying cancer types in endometrial biopsies

43

INIFY Prostate predictions on prostate biopsy: Impact of preanalytical factors and user experience

44

A digital method to interpret the C-MYC stain in diffuse large B cell lymphoma

45

Deep neural network as a decision support tool for the detection of lymph node metastases of colorectal cancer

46

Evaluation of 3 different scanners’ performance in creating images suitable for INIFY Prostate* to accurately predict suspicious cancer areas in prostate biopsies

48

Diagnostic Accuracy of Digital Pathology in the Evaluation of Lymphoproliferative Disorders

49

Deep learning-based quantification of vasculature in renal cancer predicts angiogenesis and survival


#PathVisions21 Presentations

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