Add average calibration losses

docs/source/losses.rst

@@ -22,6 +22,16 @@ Segmentation Losses
 .. autoclass:: dice
     :members:
 
+`HardL1ACELoss`
+~~~~~~~~~~~~~~~~
+.. autoclass:: HardL1ACELoss
+    :members:
+
+`SoftL1ACELoss`
+~~~~~~~~~~~~~~~~
+.. autoclass:: SoftL1ACELoss
+    :members:
+
 `MaskedDiceLoss`
 ~~~~~~~~~~~~~~~~
 .. autoclass:: MaskedDiceLoss

monai/handlers/calibration.py

@@ -59,8 +59,8 @@ class CalibrationError(IgniteMetricHandler):
         - Guo, C., et al. "On Calibration of Modern Neural Networks." ICML 2017.
           https://proceedings.mlr.press/v70/guo17a.html
         - Barfoot, T., et al. "Average Calibration Losses for Reliable Uncertainty in
-          Medical Image Segmentation." arXiv:2506.03942v3, 2025.
-          https://arxiv.org/abs/2506.03942v3
+          Medical Image Segmentation." IEEE Transactions on Medical Imaging, 2026.
+          https://doi.org/10.1109/TMI.2026.3673118
 
     See Also:
         - :py:class:`~monai.metrics.CalibrationErrorMetric`: The underlying metric class.

monai/losses/__init__.py

@@ -15,6 +15,7 @@
 from .aucm_loss import AUCMLoss
 from .barlow_twins import BarlowTwinsLoss
 from .boundary_loss import BoundaryLoss
+from .calibration import HardL1ACELoss, SoftL1ACELoss
 from .cldice import SoftclDiceLoss, SoftDiceclDiceLoss
 from .contrastive import ContrastiveLoss
 from .deform import BendingEnergyLoss, DiffusionLoss