mia-devel — List for developers of mia

[Mia-devel] SAND Challenge - Classification/Prediction Challenge within IEEE ICASSP 2026 Deadline is approaching!

[Nadia B. <nad...@ic...>]

Dear Colleagues,
I deeply apologize if you received multiple copies of this call.

We cordially remind you that only a few days remain until the deadline!

Do not miss the opportunity to participate in the SAND Challenge!

Join this competition, where your expertise in speech analysis, signal
processing, and artificial intelligence can make a real difference in the
fight against neurodegenerative diseases, such as Amyotrophic Lateral
Sclerosis (ALS).
We're inviting you to tackle two critical tasks:
- Classifying subjects;
- Predicting disease progression over time.

The top-scoring teams will have the opportunity to present their work at
the prestigious 2026 edition of the IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP) in Barcelona and publish
their contributions in the official conference proceedings, which are
indexed in major academic databases.

For more information and to participate, please, visit the official
website: www.sand.icar.cnr.it

The SAND challenge is organized by ICAR-CNR - University of Naples Federico
II - University of Campania "Luigi Vanvitelli"

A particular thanks to the Fondazione D³4Health for its technical support.



-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] TEST SET now AVAILABLE: SAND CHALLENGE @ICASSP 2026

[Nadia B. <nad...@ic...>]

Dear Colleague,

I deeply apologize if you received multiple copies of this call.

We are pleased to invite you to participate in the "SAND - Speech Analysis
for
Neurodegenerative Diseases" challenge, an international competition
aiming to revolutionize the diagnosis of neurodegenerative diseases like
ALS.

Today, many diagnostic tools rely on subjective clinical scales. This often
delays the identification of early changes, postponing intervention and
treatment. The goal of the challenge is clear: to leverage the potential of
Artificial Intelligence and speech signal analysis to create objective and
non-invasive biomarkers.

The challenge includes two main tasks:
- Classifying subjects (diseased vs. healthy).
- Predicting how the disease worsens over time.

The top-scoring teams will have the opportunity to present their work at
the prestigious 2026 IEEE International Conference on Acoustics, Speech,
and Signal Processing (ICASSP) conference in Barcelona and publish their
contributions in the official conference proceedings, indexed in major
academic databases.

This is an invitation to researchers, professionals, and innovators in
these fields.

Go to *www.sand.icar.cnr.it <http://www.sand.icar.cnr.it>* and register
your team for the challenge through the *Sign Up* section.
Once logged in, you can access the *Dashboard* from the menu, where the
dataset will be available for download.

The TEST SET is already AVAILABLE, and the submissions are open!


📅 Important Dates:
- Registration and dataset release: September 1, 2025
- Submission closes: November 20, 2025
- Results announcement: December 2, 2025

The SAND challenge is organized by ICAR-CNR - Università degli Studi di
Napoli Federico II - Università Luigi Vanvitelli

A particular thanks to the Fondazione D³4Health for its technical support.



-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] SAND Challenge @IEEE ICASSP 2026

[Nadia B. <nad...@ic...>]

Dear Colleague,
I deeply apologize if you received multiple copies of this call.

We cordially invite you to participate in the SAND “Speech Analysis for
Neurodegenerative Diseases” Challenge, which will be held during the IEEE
ICASSP 2026 international conference.
We encourage you to tackle one or both critical tasks:
- Classifying patients;
- Predicting disease progression over time.

Go to *www.sand.icar.cnr.it <http://www.sand.icar.cnr.it>* and register
your team for the challenge through the *Sign Up* section.
Once logged in, you can access the *Dashboard* from the menu, where the
dataset will be available for download.

The five teams with the highest scores will be invited to present their
work at IEEE ICASSP 2026, which will take place in Barcelona, Spain, from
May 4 to 8, 2026.
The contributions will be published in the official conference proceedings,
indexed in the most important academic databases, such as IEEE Xplore
Digital Library, Scopus, and Web of Science.

If you need any information or have any questions, please do not hesitate
to contact us.
Best Regards

=======================================================
SAND - Speech Analysis for Neurodegenerative Diseases challenge
@IEEE International Conference on Acoustics, Speech, and Signal Processing

4-8 May 2026, Barcelona, Spain
https://www.sand.icar.cnr.it/
=======================================================


MISSION:
-----------------------------------------------------------------------------------------------

This challenge deals with Amyotrophic Lateral Sclerosis (ALS). Starting
from a data set of vocal signals gathered by the organizers from both ill
and healthy subjects, the challenge proposes two different tasks: (i)
classify the subjects, and (ii) predict how the disease worsens over time.


INTRODUCTION:
-----------------------------------------------------------------------------------------------
SAND stems from the need to analyze noninvasive, objective, and scalable
biomarkers for early diagnosis and longitudinal monitoring. This is because
diseases such as ALS, present complex diagnostic challenges due to
heterogeneous symptom profiles and overlapping clinical features. Current
diagnostic tools are largely based on subjective clinical scales and often
fail to detect early changes, resulting in delayed intervention and
suboptimal care for patients. This underscores the urgent need to use
noninvasive biomarkers.

With this challenge, we would like to redefine neurodegenerative disease
assessment by positioning speech as a central, AI-powered biomarker for
diagnosis and monitoring.
Speech captures the interaction between motor and cognitive systems and is
often subtly impaired in the prodromal phases of neurodegeneration. Unlike
traditional biomarkers (e.g., neuroimaging, CSF analysis), voice data can
be collected easily, repeatedly, and inexpensively, offering a
transformative opportunity for global, equitable healthcare solutions.

GOALS:
-----------------------------------------------------------------------------------------------
We have designed two tasks to address the major challenges faced in the
monitoring of neurodegenerative diseases.

We warmly welcome researchers from academia and industry to participate and
jointly explore reliable solutions
for these challenging scenarios. Participants can contribute to one or both
tasks proposed here:
• TASK 1: multi-class classification at time 0 (first assessment);
• TASK 2: multi-class prediction (latest assessment).

Detailed information and all guidelines are available on the challenge's
official website, www.sand.icar.cnr.it

The five highest-ranked teams will be invited to showcase their work at the
IEEE ICASSP 2026 Conference.

Accepted contributions will be published in the official ICASSP proceedings
(IEEE-indexed).
The challenge-dedicated session will highlight presentations from the
top-performing participants and conclude
with a panel discussion.

Don’t miss this engaging event!


IMPORTANT DATES:
-----------------------------------------------------------------------------------------------
• September 01, 2025: Challenge Registration opens and Release of the
datasets (training)
• October 01, 2025: Release of the datasets (testing) - first day for
submitting results and code
• November 20, 2025: Challenge submission closes – last day for
registration, submitting results, and code
• December 02, 2025: Results announcement
• December 07, 2025: 2-page Papers Due (by invitation only)
• January 11, 2026: 2-page Paper Acceptance Notification
• January 18, 2026: Camera-ready 2-page Papers Due


-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] fix gcc-13 build issue

[Bo YU <tsu...@gm...>]

Hi!

The patch is to fix build issue on gcc-13. The bug was reportbug from
Debian[0]. But I can not find right place to send the patch so send to
the main list.


[0]: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1037775


---
This patch header follows DEP-3: http://dep.debian.net/deps/dep3/
--- a/mia/core/pixeltype.hh
+++ b/mia/core/pixeltype.hh
@@ -21,6 +21,7 @@
 #ifndef mia_core_pixeltype_hh
 #define mia_core_pixeltype_hh
 
+#include <cstdint>
 #include <mia/core/dictmap.hh>
 #include <miaconfig.h>
 
--- a/mia/core/typedescr.hh
+++ b/mia/core/typedescr.hh
@@ -22,6 +22,7 @@
 #define mia_core_typedescr_hh
 
 
+#include <cstdint>
 #include <mia/core/defines.hh>
 #include <string>
 #include <vector>
--- a/mia/core/attributetype.hh
+++ b/mia/core/attributetype.hh
@@ -21,6 +21,7 @@
 #ifndef mia_core_attributetype_hh
 #define mia_core_attributetype_hh
 
+#include <cstdint>
 #include <vector>
 #include <mia/core/defines.hh>
 #include <miaconfig.h>

-- 
Regards,
--
  Bo YU

[Mia-devel] CFP: [Applied Sciences] (IF: 2.679, ISSN: 2076-3417)—Special Issue “Advances of Transformers in Medical Imaging”

[Nadia B. <nad...@ic...>]

Dear Colleague,

Apologies in advance for cross-posting. The journal Applied Sciences (IF
2.679, https://www.mdpi.com/journal/applsci) is currently running a Special
Issue entitled “Advances of Transformers in Medical Imaging”, which is now
open for submissions:

https://www.mdpi.com/journal/applsci/special_issues/Transformers_Medical_Imaging

The main aim of this Special Issue is to collect original contributions as
either research papers or comprehensive reviews that address and discuss
the impact and relevance of the application of transformers models in the
medical imaging field.


The official submission deadline is *31 December 2022*. Manuscripts can be
submitted until the deadline. Accepted papers will be published
continuously in the journal (as soon as accepted) and will be listed
together on the special issue website.


Benefits of publishing with Applied Sciences:

1. Gold open access: unlimited and free access for readers.

2. High visibility: indexed by the Science Citation Index Expanded (Web of
Science) (search for “Applied Sciences-Basel”), Scopus, Inspec (IET), and
other databases. The 2020 impact factor for this journal has increased from

2.474 to 2.679.

3. Rapid publication: manuscripts are peer-reviewed, and a first decision
is provided to authors approximately 17.7 days after submission; acceptance
to publication is undertaken in approximately 3.5 days (median values for
papers published in this journal in the first half of 2021).

Please visit the instructions for authors page on the following website
before submitting your manuscript:

https://www.mdpi.com/journal/applsci/instructions

Please note that an article processing charge (APC) of CHF 2300 (Swiss
Francs) currently applies for each paper accepted for publication in this
journal in 2022.

We look forward to hearing from you soon.

Kind regards,

Dr. Nadia Brancati

Dr. Maria Frucci

Prof. Dr. Daniel Riccio

Dr. Mara Sangiovanni

Guest Editors


-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] CFP: [Applied Sciences] (IF: 2.679, ISSN: 2076-3417)—Special Issue “Advances of Transformers in Medical Imaging”

[Nadia B. <nad...@ic...>]

Dear Colleague,

Apologies in advance for cross-posting. The journal Applied Sciences (IF
2.679, https://www.mdpi.com/journal/applsci) is currently running a Special
Issue entitled “Advances of Transformers in Medical Imaging”, which is now
open for submissions:

https://www.mdpi.com/journal/applsci/special_issues/Transformers_Medical_Imaging

The main aim of this Special Issue is to collect original contributions as
either research papers or comprehensive reviews that address and discuss
the impact and relevance of the application of transformers models in the
medical imaging field.


The official submission deadline is *31 December 2022*. Manuscripts can be
submitted until the deadline. Accepted papers will be published
continuously in the journal (as soon as accepted) and will be listed
together on the special issue website.


Benefits of publishing with Applied Sciences:

1. Gold open access: unlimited and free access for readers.

2. High visibility: indexed by the Science Citation Index Expanded (Web of
Science) (search for “Applied Sciences-Basel”), Scopus, Inspec (IET), and
other databases. The 2020 impact factor for this journal has increased from

2.474 to 2.679.

3. Rapid publication: manuscripts are peer-reviewed, and a first decision
is provided to authors approximately 17.7 days after submission; acceptance
to publication is undertaken in approximately 3.5 days (median values for
papers published in this journal in the first half of 2021).

Please visit the instructions for authors page on the following website
before submitting your manuscript:

https://www.mdpi.com/journal/applsci/instructions

Please note that an article processing charge (APC) of CHF 2300 (Swiss
Francs) currently applies for each paper accepted for publication in this
journal in 2022.

We look forward to hearing from you soon.

Kind regards,

Dr. Nadia Brancati

Dr. Maria Frucci

Prof. Dr. Daniel Riccio

Dr. Mara Sangiovanni

Guest Editors

-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] CFP: [Applied Sciences] (IF: 2.679, ISSN: 2076-3417)—Special Issue “Advances of Transformers in Medical Imaging”

[Nadia B. <nad...@ic...>]

Dear Colleague,

Apologies in advance for cross-posting. The journal Applied Sciences (IF
2.679, https://www.mdpi.com/journal/applsci) is currently running a Special
Issue entitled “Advances of Transformers in Medical Imaging”, which is now
open for submissions:

https://www.mdpi.com/journal/applsci/special_issues/Transformers_Medical_Imaging

The main aim of this Special Issue is to collect original contributions as
either research papers or comprehensive reviews that address and discuss
the impact and relevance of the application of transformers models in the
medical imaging field.


The official submission deadline is *31 December 2022*. Manuscripts can be
submitted until the deadline. Accepted papers will be published
continuously in the journal (as soon as accepted) and will be listed
together on the special issue website.


Benefits of publishing with Applied Sciences:

1. Gold open access: unlimited and free access for readers.

2. High visibility: indexed by the Science Citation Index Expanded (Web of
Science) (search for “Applied Sciences-Basel”), Scopus, Inspec (IET), and
other databases. The 2020 impact factor for this journal has increased from

2.474 to 2.679.

3. Rapid publication: manuscripts are peer-reviewed, and a first decision
is provided to authors approximately 17.7 days after submission; acceptance
to publication is undertaken in approximately 3.5 days (median values for
papers published in this journal in the first half of 2021).

Please visit the instructions for authors page on the following website
before submitting your manuscript:

https://www.mdpi.com/journal/applsci/instructions

Please note that an article processing charge (APC) of CHF 2300 (Swiss
Francs) currently applies for each paper accepted for publication in this
journal in 2022.

We look forward to hearing from you soon.

Kind regards,

Dr. Nadia Brancati

Dr. Maria Frucci

Prof. Dr. Daniel Riccio

Dr. Mara Sangiovanni

Guest Editors


-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] CFP: [Applied Sciences] (IF: 2.679, ISSN: 2076-3417)—Special Issue “Advances of Transformers in Medical Imaging”

[Nadia B. <nad...@ic...>]

Dear Colleague,

Apologies in advance for cross-posting. The journal Applied Sciences (IF
2.679, https://www.mdpi.com/journal/applsci) is currently running a Special
Issue entitled “Advances of Transformers in Medical Imaging”, which is now
open for submissions:

https://www.mdpi.com/journal/applsci/special_issues/Transformers_Medical_Imaging

The main aim of this Special Issue is to collect original contributions as
either research papers or comprehensive reviews that address and discuss
the impact and relevance of the application of transformers models in the
medical imaging field.


The official submission deadline is *31 December 2022*. Manuscripts can be
submitted until the deadline. Accepted papers will be published
continuously in the journal (as soon as accepted) and will be listed
together on the special issue website.


Benefits of publishing with Applied Sciences:

1. Gold open access: unlimited and free access for readers.

2. High visibility: indexed by the Science Citation Index Expanded (Web of
Science) (search for “Applied Sciences-Basel”), Scopus, Inspec (IET), and
other databases. The 2020 impact factor for this journal has increased from

2.474 to 2.679.

3. Rapid publication: manuscripts are peer-reviewed, and a first decision
is provided to authors approximately 17.7 days after submission; acceptance
to publication is undertaken in approximately 3.5 days (median values for
papers published in this journal in the first half of 2021).

Please visit the instructions for authors page on the following website
before submitting your manuscript:

https://www.mdpi.com/journal/applsci/instructions

Please note that an article processing charge (APC) of CHF 2300 (Swiss
Francs) currently applies for each paper accepted for publication in this
journal in 2022.

We look forward to hearing from you soon.

Kind regards,

Dr. Nadia Brancati

Dr. Maria Frucci

Prof. Dr. Daniel Riccio

Dr. Mara Sangiovanni

Guest Editors

-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] CFP: [Applied Sciences], IF: 2.679, ISSN: 2076-3417, —Special Issue “Advances of Transformers in Medical Imaging”

[Nadia B. <nad...@ic...>]

Dear Colleague,


the journal Applied Sciences (IF 2.679, https://www.mdpi.com/journal/applsci)
is currently running a Special Issue entitled “Advances of Transformers in
Medical Imaging”, which is now open for submissions:


https://www.mdpi.com/journal/applsci/special_issues/Transformers_Medical_Imaging


The main aim of this Special Issue is to collect original contributions as
either research papers or comprehensive reviews that address and discuss
the impact and relevance of the application of transformers models in the
medical imaging field.



The official submission deadline is *31 December 2022*. Manuscripts can be
submitted until the deadline. Accepted papers will be published
continuously in the journal (as soon as accepted) and will be listed
together on the special issue website.



Benefits of publishing with Applied Sciences:


1. Gold open access: unlimited and free access for readers.


2. High visibility: indexed by the Science Citation Index Expanded (Web of
Science) (search for “Applied Sciences-Basel”), Scopus, Inspec (IET), and
other databases. The 2020 impact factor for this journal has increased from

2.474 to 2.679.


3. Rapid publication: manuscripts are peer-reviewed, and a first decision
is provided to authors approximately 17.7 days after submission; acceptance
to publication is undertaken in approximately 3.5 days (median values for
papers published in this journal in the first half of 2021).


Please visit the instructions for authors page on the following website
before submitting your manuscript:


https://www.mdpi.com/journal/applsci/instructions


Please note that an article processing charge (APC) of CHF 2300 (Swiss
Francs) currently applies for each paper accepted for publication in this
journal in 2022.


We look forward to hearing from you soon.


Kind regards,


Dr. Nadia Brancati

Dr. Maria Frucci

Prof. Dr. Daniel Riccio

Dr. Mara Sangiovanni

Guest Editors

-- 
Nadia Brancati
Researcher @ AI-ISA Lab
<https://www.icar.cnr.it/en/gruppi-di-ricerca/artificial-intelligence-in-image-and-signal-analysis/>
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] Call for Challenge - ISBI 2022 - BReast tumor Image classification on Gigapixel HisTopathological images (BRIGHT) Challenge

[Nadia B. <nad...@ic...>]

Dear Colleague,

IEEE ISBI 2022 (International Symposium on Biomedical Imaging, 28-31 March
2022) is currently running "BRIGHT Challenge" a new challenge on BReast
tumor Image classification on Gigapixel HisTopathological images.
Please visit https://research.ibm.com/haifa/Workshops/BRIGHT/ for more
information.

Please, find below the Abstract of the Challenge.
I hope it is interesting for you.
I apologize if you received multiple copies of this call.

***************************************************

The aim of the *BRIGHT challenge* is to provide an opportunity for the
development,
testing and evaluation of Artificial Intelligence (AI) models for automatic
breast tumor subtyping
of frequent lesions along with rare pathologies, by using clinical
Hematoxylin & Eosin (H&E)
stained gigapixel Whole-Slide Images (WSIs). To this end, a large annotated
cohort of WSIs,
which includes Noncancerous (Pathological Benign, Usual Ductal
Hyperplasia), Precancerous
(Flat Epithelia Atypia, Atypical Ductal Hyperplasia) and Cancerous (Ductal
Carcinoma in Situ,
Invasive Carcinoma) categories, will be available. BRIGHT is the first
breast tumor subtyping
challenge that includes atypical lesions and consists of more than 550
annotated WSIs across a
wide spectrum of tumor subtypes. The Challenge includes two tasks: (1) WSI
classification into
three classes as per cancer risk, and (b) WSI classification into six
fine-grained lesion subtypes.


-- 
Nadia Brancati
Researcher
Institute for High Performance Computing and Networking - National Research
Council of Italy (CNR - ICAR)
www.icar.cnr.it
Via P. Castellino, 111 - 80131 Napoli
Tel. 081.6139228
nad...@ic...

[Mia-devel] Call for Papers: Special Issue “Analysis of 1D Biomedical signals through AI based approaches for Image processing” (Biomedical Signal Processing and Control Journal)

[Nadia B. <nad...@ic...>]

Dear Colleague,

the journal Biomedical Signal Processing and Control Journal (IF 3.137,
https://www.journals.elsevier.com/biomedical-signal-processing-and-control)
is currently running a Special Issue entitled “Analysis of 1D Biomedical
signals through AI based approaches for Image processing”, which is now
open for submissions:

https://www.journals.elsevier.com/biomedical-signal-processing-and-control/call-for-papers/special-issue-on-analysis-of-1d-biomedical-signals

Please, find below the Call for Papers of this Special Issue.
I hope it is interesting for you.
I apologize if you received multiple copies of this CFP.

***************************************************

BIOMEDICAL SIGNAL PROCESSING AND CONTROL JOURNAL

Elsevier - Impact Factor: 3.137

Special Issue on Analysis of 1D Biomedical signals

through AI based approaches for Image processing

------------------------------------------

The human body is a complex electro-mechanical system that generates
electrical, mechanical, thermal, and other signals that we normally call
Biomedical Signals. ECG, EMG, PCG, PPG, BCG, skin temperature, and skin
conductance are some of the 1D biomedical signals examples that record the
dynamic changes of the human body, and that can also be monitored by the
use of smart wearables.

The automatic analysis of biomedical signals has become an important
process to both identify indicators of diseased states and to provide
meaningful information for various applications in physiology, sports
medicine and human–computer interface.

Recent advances in Artificial Intelligence (AI) have the potential to
manage and analyze large biomedical datasets leading to the clinical
decisions and real-time applications. These techniques have been applied
successfully to medical imaging, but the analysis of 1D biomedical signals
has yet to fully benefit from this novel approach.

Biomedical Signal and Image Processing include the analysis,
classification, and manipulation of signals by means of operations like
filtering, compression, feature extraction, enhancement and spectral
analysis. Under such conditions, the use of computational innovative
techniques based on the convergence of signal and image processing will
help us to get new solutions to the real-world challenges.

This Special Issue is aimed at sharing the innovative ideas and algorithms
in the Biomedical Signal and Image processing domain. Precisely, the
objective of this Special Issue is to focus the attention on emerging
methods and techniques based on the transformation of biomedical signals
into images and their processing through AI based image processing
approaches.

With this mission, the principal aim of this Special Issue is to collect
original contributions as either research papers or comprehensive reviews
that address and discuss the impact and relevance of signals and images
processing in research and applicative areas such as:

• Audio and Acoustic Signal Processing

• Cardiovascular Signals Processing

• Medical Signal Acquisition, Analysis and Processing

• Motion Control

• Physiological Processes and Biomedical signal Modeling

• Neural Networks for Biomedical Data

• Pattern Recognition & Machine Learning for Biomedical Data

• Biomedical signals from wearable sensors and systems

• Real-Time Systems & Biomedical-Based User Interfaces

• Internet of Health Things

• Detection and Identification of diseases

• Electromagnetic Fields in Biology and Medicine

• Others

all referred to processing of 1D Biomedical Signals as images.

Guest Editors

Dr. Giovanna Sannino – ICAR - CNR, Italy - gio...@ic...

Dr. Nadia Brancati – ICAR - CNR, Italy - nad...@ic...

Prof. Alfred M. Bruckstein – Dep. of Computer Science, Technion IIT, Haifa,
Israel - fr...@cs...

Dr. Maria Frucci – ICAR - CNR, Italy - mar...@ic...

Prof. Daniel Riccio – University of Naples Federico II, Italy -
dan...@un...


Key Dates

Manuscript submission due: March 30, 2021

First Review Results: June 30, 2021

Final Review and Decision: October 30, 2021

Publication date: 4th Quarter 2021


For all information:
https://www.journals.elsevier.com/biomedical-signal-processing-and-control/call-for-papers/special-issue-on-analysis-of-1d-biomedical-signals

[Mia-devel] Call for Papers: Special Issue “Analysis of 1D Biomedical signals through AI based approaches for Image processing” (Biomedical Signal Processing and Control Journal)

[Nadia B. <nad...@ic...>]

Dear Colleague,

the journal Biomedical Signal Processing and Control Journal (IF 3.137,
https://www.journals.elsevier.com/biomedical-signal-processing-and-control)
is currently running a Special Issue entitled “Analysis of 1D Biomedical
signals through AI based approaches for Image processing”, which is now
open for submissions:

https://www.journals.elsevier.com/biomedical-signal-processing-and-control/call-for-papers/special-issue-on-analysis-of-1d-biomedical-signals

Please, find below the Call for Papers of this Special Issue.
I hope it is interesting for you.
I apologize if you received multiple copies of this CFP.

***************************************************

BIOMEDICAL SIGNAL PROCESSING AND CONTROL JOURNAL

Elsevier - Impact Factor: 3.137

Special Issue on Analysis of 1D Biomedical signals

through AI based approaches for Image processing

------------------------------------------

The human body is a complex electro-mechanical system that generates
electrical, mechanical, thermal, and other signals that we normally call
Biomedical Signals. ECG, EMG, PCG, PPG, BCG, skin temperature, and skin
conductance are some of the 1D biomedical signals examples that record the
dynamic changes of the human body, and that can also be monitored by the
use of smart wearables.

The automatic analysis of biomedical signals has become an important
process to both identify indicators of diseased states and to provide
meaningful information for various applications in physiology, sports
medicine and human–computer interface.

Recent advances in Artificial Intelligence (AI) have the potential to
manage and analyze large biomedical datasets leading to the clinical
decisions and real-time applications. These techniques have been applied
successfully to medical imaging, but the analysis of 1D biomedical signals
has yet to fully benefit from this novel approach.

Biomedical Signal and Image Processing include the analysis,
classification, and manipulation of signals by means of operations like
filtering, compression, feature extraction, enhancement and spectral
analysis. Under such conditions, the use of computational innovative
techniques based on the convergence of signal and image processing will
help us to get new solutions to the real-world challenges.

This Special Issue is aimed at sharing the innovative ideas and algorithms
in the Biomedical Signal and Image processing domain. Precisely, the
objective of this Special Issue is to focus the attention on emerging
methods and techniques based on the transformation of biomedical signals
into images and their processing through AI based image processing
approaches.

With this mission, the principal aim of this Special Issue is to collect
original contributions as either research papers or comprehensive reviews
that address and discuss the impact and relevance of signals and images
processing in research and applicative areas such as:

• Audio and Acoustic Signal Processing

• Cardiovascular Signals Processing

• Medical Signal Acquisition, Analysis and Processing

• Motion Control

• Physiological Processes and Biomedical signal Modeling

• Neural Networks for Biomedical Data

• Pattern Recognition & Machine Learning for Biomedical Data

• Biomedical signals from wearable sensors and systems

• Real-Time Systems & Biomedical-Based User Interfaces

• Internet of Health Things

• Detection and Identification of diseases

• Electromagnetic Fields in Biology and Medicine

• Others

all referred to processing of 1D Biomedical Signals as images.

Guest Editors

Dr. Giovanna Sannino – ICAR - CNR, Italy - gio...@ic...

Dr. Nadia Brancati – ICAR - CNR, Italy - nad...@ic...

Prof. Alfred M. Bruckstein – Dep. of Computer Science, Technion IIT, Haifa,
Israel - fr...@cs...

Dr. Maria Frucci – ICAR - CNR, Italy - mar...@ic...

Prof. Daniel Riccio – University of Naples Federico II, Italy -
dan...@un...


Key Dates

Manuscript submission due: March 30, 2021

First Review Results: June 30, 2021

Final Review and Decision: October 30, 2021

Publication date: 4th Quarter 2021


For all information:
https://www.journals.elsevier.com/biomedical-signal-processing-and-control/call-for-papers/special-issue-on-analysis-of-1d-biomedical-signals

Re: [Mia-devel] Hello! I'm back! -> so am I

[Gert W. <wo...@cn...>]

Hi, I was on vacation, and decided not to check mail,
but now I'm also back ;) 

> Now about the rigid registration...
> I am thinking of doing this:
> Study the code found on the link that you gave me...
> Study the papers also on that link and remake the
> software, and also add improvements...
That's fine. 

Bye

Gert

PS: Don't worry if you have to do some other things  
there and again. I also have other preferences from time 
to time.  

[Mia-devel] Hello! I'm back!

[Arlindo C. <rdc...@ya...>]

Hello!
Sorry for the delay... Some problem to solve...
I have looked at the adjust code and understood it
more or less...
Now about the rigid registration...
I am thinking of doing this:
Study the code found on the link that you gave me...
Study the papers also on that link and remake the
software, and also add improvements...

Am i going in the right direction, or not?
Unless of course you want me to do something else, no
problem...

Thanks for help and patience!
Best Regards,
A. CArvalho
rdc...@ya...
rdc...@ya...

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[Mia-devel] first message

[Gert W. <wo...@cn...>]

method namig changed for modules
mia viewer adjust
module analyse is still inconsistent

So this was the first message to this list :)

gerddie